Triple
T16257004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mirror Has Two Faces |
E394655
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
Academy Award for Best Supporting Actress nomination for Lauren Bacall
The Academy Award for Best Supporting Actress nomination for Lauren Bacall recognizes her acclaimed supporting performance in the romantic comedy-drama film "The Mirror Has Two Faces."
|
E1203683
|
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 nomination for Lauren Bacall | Statement: [The Mirror Has Two Faces, awardReceived, Academy Award for Best Supporting Actress nomination for Lauren Bacall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actress nomination for Lauren Bacall Context triple: [The Mirror Has Two Faces, awardReceived, Academy Award for Best Supporting Actress nomination for Lauren Bacall]
-
A.
Golden Globe Award for Best Supporting Actress – Motion Picture nomination for Lauren Bacall
The Golden Globe Award for Best Supporting Actress – Motion Picture nomination for Lauren Bacall recognizes her acclaimed supporting performance in the romantic comedy-drama film "The Mirror Has Two Faces."
-
B.
Academy Award for Best Supporting Actress for "None But the Lonely Heart"
The Academy Award for Best Supporting Actress for "None But the Lonely Heart" is the Oscar won by legendary American stage and screen actress Ethel Barrymore for her acclaimed supporting performance in the 1944 film "None But the Lonely Heart."
-
C.
Academy Award for Best Supporting Actress for "Sunset Boulevard"
The Academy Award for Best Supporting Actress for "Sunset Boulevard" is the Oscar nomination recognizing Nancy Olson’s acclaimed performance in Billy Wilder’s 1950 film noir classic.
-
D.
Academy Award for Best Supporting Actress for Farewell, My Lovely
The Academy Award for Best Supporting Actress for "Farewell, My Lovely" is the Oscar nomination recognizing Sylvia Miles’s acclaimed supporting performance in the 1975 film adaptation of Raymond Chandler’s novel.
-
E.
Academy Award for Best Supporting Actress for Dodsworth
The Academy Award for Best Supporting Actress for Dodsworth is the Oscar nomination Maria Ouspenskaya received for her acclaimed supporting performance in the 1936 film "Dodsworth."
- 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 nomination for Lauren Bacall Triple: [The Mirror Has Two Faces, awardReceived, Academy Award for Best Supporting Actress nomination for Lauren Bacall]
Generated description
The Academy Award for Best Supporting Actress nomination for Lauren Bacall recognizes her acclaimed supporting performance in the romantic comedy-drama film "The Mirror Has Two Faces."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actress nomination for Lauren Bacall Target entity description: The Academy Award for Best Supporting Actress nomination for Lauren Bacall recognizes her acclaimed supporting performance in the romantic comedy-drama film "The Mirror Has Two Faces."
-
A.
Golden Globe Award for Best Supporting Actress – Motion Picture nomination for Lauren Bacall
The Golden Globe Award for Best Supporting Actress – Motion Picture nomination for Lauren Bacall recognizes her acclaimed supporting performance in the romantic comedy-drama film "The Mirror Has Two Faces."
-
B.
Academy Award for Best Supporting Actress for "None But the Lonely Heart"
The Academy Award for Best Supporting Actress for "None But the Lonely Heart" is the Oscar won by legendary American stage and screen actress Ethel Barrymore for her acclaimed supporting performance in the 1944 film "None But the Lonely Heart."
-
C.
Academy Award for Best Supporting Actress for "Sunset Boulevard"
The Academy Award for Best Supporting Actress for "Sunset Boulevard" is the Oscar nomination recognizing Nancy Olson’s acclaimed performance in Billy Wilder’s 1950 film noir classic.
-
D.
Academy Award for Best Supporting Actress for Farewell, My Lovely
The Academy Award for Best Supporting Actress for "Farewell, My Lovely" is the Oscar nomination recognizing Sylvia Miles’s acclaimed supporting performance in the 1975 film adaptation of Raymond Chandler’s novel.
-
E.
Academy Award for Best Supporting Actress for Dodsworth
The Academy Award for Best Supporting Actress for Dodsworth is the Oscar nomination Maria Ouspenskaya received for her acclaimed supporting performance in the 1936 film "Dodsworth."
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2459b1624819086bf681075097235 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b3b48c8190ad0043d730b1da35 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0018951f888190b70e098e4af3a90a |
completed | May 10, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00190887088190a5a0eb2cfd674c98 |
completed | May 10, 2026, 5:35 a.m. |
Created at: April 10, 2026, 5:04 a.m.