Triple
T14610425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Seduction |
E342943
|
entity |
| Predicate | awardRecognition |
P11
|
FINISHED |
| Object |
Linda Fiorentino received multiple critics’ awards for Best Actress
Linda Fiorentino received multiple critics’ awards for Best Actress for her acclaimed, noirish performance as the manipulative Bridget Gregory in the 1994 neo-noir film *The Last Seduction*.
|
E411924
|
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: Linda Fiorentino received multiple critics’ awards for Best Actress | Statement: [The Last Seduction, awardRecognition, Linda Fiorentino received multiple critics’ awards for Best Actress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Fiorentino received multiple critics’ awards for Best Actress Context triple: [The Last Seduction, awardRecognition, Linda Fiorentino received multiple critics’ awards for Best Actress]
-
A.
National Society of Film Critics Award for Best Actress
The National Society of Film Critics Award for Best Actress is an annual honor presented by the National Society of Film Critics to recognize the most outstanding leading performance by an actress in film.
-
B.
Academy Award for Best Supporting Actress for Jennifer Tilly
The Academy Award for Best Supporting Actress nomination for Jennifer Tilly recognized her acclaimed comedic and dramatic performance in Woody Allen’s 1994 film "Bullets over Broadway."
-
C.
Academy Award for Best Actress for Joan Allen
The Academy Award for Best Actress for Joan Allen is an Oscar nomination recognizing her leading performance in the political drama film "The Contender."
-
D.
National Society of Film Critics Award for Best Supporting Actress
The National Society of Film Critics Award for Best Supporting Actress is an annual honor given by the National Society of Film Critics to recognize outstanding performances by actresses in supporting roles in film.
-
E.
Critics' Choice Award for Best Actress in an Action Movie
The Critics' Choice Award for Best Actress in an Action Movie is a film award presented by the Critics Choice Association to honor outstanding lead performances by actresses in action films.
- 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: Linda Fiorentino received multiple critics’ awards for Best Actress Triple: [The Last Seduction, awardRecognition, Linda Fiorentino received multiple critics’ awards for Best Actress]
Generated description
Linda Fiorentino received multiple critics’ awards for Best Actress for her acclaimed, noirish performance as the manipulative Bridget Gregory in the 1994 neo-noir film *The Last Seduction*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Fiorentino received multiple critics’ awards for Best Actress Target entity description: Linda Fiorentino received multiple critics’ awards for Best Actress for her acclaimed, noirish performance as the manipulative Bridget Gregory in the 1994 neo-noir film *The Last Seduction*.
-
A.
National Society of Film Critics Award for Best Actress
chosen
The National Society of Film Critics Award for Best Actress is an annual honor presented by the National Society of Film Critics to recognize the most outstanding leading performance by an actress in film.
-
B.
Academy Award for Best Supporting Actress for Jennifer Tilly
The Academy Award for Best Supporting Actress nomination for Jennifer Tilly recognized her acclaimed comedic and dramatic performance in Woody Allen’s 1994 film "Bullets over Broadway."
-
C.
Academy Award for Best Actress for Joan Allen
The Academy Award for Best Actress for Joan Allen is an Oscar nomination recognizing her leading performance in the political drama film "The Contender."
-
D.
National Society of Film Critics Award for Best Supporting Actress
The National Society of Film Critics Award for Best Supporting Actress is an annual honor given by the National Society of Film Critics to recognize outstanding performances by actresses in supporting roles in film.
-
E.
Critics' Choice Award for Best Actress in an Action Movie
The Critics' Choice Award for Best Actress in an Action Movie is a film award presented by the Critics Choice Association to honor outstanding lead performances by actresses in action films.
- F. None of above.
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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44f0dd48190a78662b5998a6722 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91f437c8190ada4d1c3708faedd |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb1ad32a4819088e5831f3d74ea4e |
completed | May 8, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb316479c81909343196bb89e5e57 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 10, 2026, 1:25 a.m.