Triple
T7448329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacki Weaver |
E171939
|
entity |
| Predicate | nominatedFor |
P1791
|
FINISHED |
| Object |
Academy Award for Best Supporting Actress for Silver Linings Playbook
The Academy Award for Best Supporting Actress for Silver Linings Playbook is the Oscar nomination recognizing an actress’s supporting performance in the 2012 romantic comedy-drama film "Silver Linings Playbook."
|
E665058
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Academy Award for Best Supporting Actress for Silver Linings Playbook | Statement: [Jacki Weaver, nominatedFor, Academy Award for Best Supporting Actress for Silver Linings Playbook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actress for Silver Linings Playbook Context triple: [Jacki Weaver, nominatedFor, Academy Award for Best Supporting Actress for Silver Linings Playbook]
-
A.
Academy Award for Best Actor in a Leading Role for Silver Linings Playbook
The Academy Award for Best Actor in a Leading Role for Silver Linings Playbook is the Oscar nomination recognizing Bradley Cooper’s acclaimed performance as the bipolar former teacher Pat Solitano in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
B.
Academy Award for Best Supporting Actor for Nocturnal Animals
The Academy Award for Best Supporting Actor for "Nocturnal Animals" is the Oscar nomination recognizing Michael Shannon's acclaimed supporting performance in Tom Ford's 2016 psychological thriller film.
-
C.
Boston Society of Film Critics Award for Best Supporting Actress
The Boston Society of Film Critics Award for Best Supporting Actress is an annual honor recognizing outstanding performances by actresses in supporting roles in films, as chosen by the Boston Society of Film Critics.
-
D.
New York Film Critics Circle Award for Best Supporting Actress
The New York Film Critics Circle Award for Best Supporting Actress is an annual honor presented by New York-based film critics to recognize outstanding performances by actresses in supporting roles.
-
E.
National Board of Review Award for Best Actress
The National Board of Review Award for Best Actress is an annual American film honor recognizing the most outstanding leading performance by an actress as selected by the National Board of Review.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Academy Award for Best Supporting Actress for Silver Linings Playbook Triple: [Jacki Weaver, nominatedFor, Academy Award for Best Supporting Actress for Silver Linings Playbook]
Generated description
The Academy Award for Best Supporting Actress for Silver Linings Playbook is the Oscar nomination recognizing an actress’s supporting performance in the 2012 romantic comedy-drama film "Silver Linings Playbook."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actress for Silver Linings Playbook Target entity description: The Academy Award for Best Supporting Actress for Silver Linings Playbook is the Oscar nomination recognizing an actress’s supporting performance in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
A.
Academy Award for Best Actor in a Leading Role for Silver Linings Playbook
The Academy Award for Best Actor in a Leading Role for Silver Linings Playbook is the Oscar nomination recognizing Bradley Cooper’s acclaimed performance as the bipolar former teacher Pat Solitano in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
B.
Academy Award for Best Supporting Actor for Nocturnal Animals
The Academy Award for Best Supporting Actor for "Nocturnal Animals" is the Oscar nomination recognizing Michael Shannon's acclaimed supporting performance in Tom Ford's 2016 psychological thriller film.
-
C.
Boston Society of Film Critics Award for Best Supporting Actress
The Boston Society of Film Critics Award for Best Supporting Actress is an annual honor recognizing outstanding performances by actresses in supporting roles in films, as chosen by the Boston Society of Film Critics.
-
D.
New York Film Critics Circle Award for Best Supporting Actress
The New York Film Critics Circle Award for Best Supporting Actress is an annual honor presented by New York-based film critics to recognize outstanding performances by actresses in supporting roles.
-
E.
National Board of Review Award for Best Actress
The National Board of Review Award for Best Actress is an annual American film honor recognizing the most outstanding leading performance by an actress as selected by the National Board of Review.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f389ddd48190a4b8753c67220c4f |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827abf3288190b146522af7fcfaa1 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828ca24bc81909357b9f40a9004af |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8297c1de4819099acfac611a519e5 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 27, 2026, 3:14 p.m.