Triple

T10311360
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Tilly E241896 entity
Predicate nominatedFor P1791 FINISHED
Object Academy Award for Best Supporting Actress for Bullets Over Broadway
The Academy Award for Best Supporting Actress for Bullets Over Broadway is the Oscar nomination Jennifer Tilly received for her acclaimed comedic performance in Woody Allen’s 1994 film "Bullets Over Broadway."
E855706 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 Bullets Over Broadway | Statement: [Jennifer Tilly, nominatedFor, Academy Award for Best Supporting Actress for Bullets Over Broadway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actress for Bullets Over Broadway
Context triple: [Jennifer Tilly, nominatedFor, Academy Award for Best Supporting Actress for Bullets Over Broadway]
  • A. Academy Award for Best Supporting Actress for Come Back, Little Sheba
    The Academy Award for Best Supporting Actress for "Come Back, Little Sheba" is the Oscar nomination recognizing Terry Moore’s acclaimed supporting performance in the 1952 film adaptation of the stage play.
  • B. Academy Award for Best Supporting Actress for Working Girl
    The Academy Award for Best Supporting Actress for Working Girl is the Oscar nomination Joan Cusack received for her acclaimed supporting performance in the 1988 romantic comedy-drama film "Working Girl."
  • C. Academy Award for Best Supporting Actress for Being John Malkovich
    The Academy Award for Best Supporting Actress for Being John Malkovich is the Oscar nomination recognizing Catherine Keener's acclaimed supporting performance in the 1999 surreal comedy-drama film "Being John Malkovich."
  • D. Academy Award for Best Actress for Marvin's Room
    The Academy Award for Best Actress for "Marvin's Room" is the Oscar nomination recognizing Diane Keaton's acclaimed lead performance in the 1996 family drama film.
  • E. Academy Award for Best Actress for Something's Gotta Give
    The Academy Award for Best Actress for "Something's Gotta Give" is the Oscar nomination recognizing Diane Keaton's acclaimed lead performance in the 2003 romantic comedy film.
  • 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 Bullets Over Broadway
Triple: [Jennifer Tilly, nominatedFor, Academy Award for Best Supporting Actress for Bullets Over Broadway]
Generated description
The Academy Award for Best Supporting Actress for Bullets Over Broadway is the Oscar nomination Jennifer Tilly received for her acclaimed comedic performance in Woody Allen’s 1994 film "Bullets Over Broadway."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actress for Bullets Over Broadway
Target entity description: The Academy Award for Best Supporting Actress for Bullets Over Broadway is the Oscar nomination Jennifer Tilly received for her acclaimed comedic performance in Woody Allen’s 1994 film "Bullets Over Broadway."
  • A. Academy Award for Best Supporting Actress for Come Back, Little Sheba
    The Academy Award for Best Supporting Actress for "Come Back, Little Sheba" is the Oscar nomination recognizing Terry Moore’s acclaimed supporting performance in the 1952 film adaptation of the stage play.
  • B. Academy Award for Best Supporting Actress for Working Girl
    The Academy Award for Best Supporting Actress for Working Girl is the Oscar nomination Joan Cusack received for her acclaimed supporting performance in the 1988 romantic comedy-drama film "Working Girl."
  • C. Academy Award for Best Supporting Actress for Being John Malkovich
    The Academy Award for Best Supporting Actress for Being John Malkovich is the Oscar nomination recognizing Catherine Keener's acclaimed supporting performance in the 1999 surreal comedy-drama film "Being John Malkovich."
  • D. Academy Award for Best Actress for Marvin's Room
    The Academy Award for Best Actress for "Marvin's Room" is the Oscar nomination recognizing Diane Keaton's acclaimed lead performance in the 1996 family drama film.
  • E. Academy Award for Best Actress for Something's Gotta Give
    The Academy Award for Best Actress for "Something's Gotta Give" is the Oscar nomination recognizing Diane Keaton's acclaimed lead performance in the 2003 romantic comedy film.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d78ece88190885768c979b038df completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d73186831481909555e2205d8783a7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d732bfc76c819089287477b54a7b77 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:47 a.m.