Triple

T3205046
Position Surface form Disambiguated ID Type / Status
Subject Why Did I Get Married? E67140 entity
Predicate musicBy P1952 FINISHED
Object Aaron Zigman E118675 NE FINISHED

How this triple was built (2 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: Aaron Zigman | Statement: [Why Did I Get Married?, musicBy, Aaron Zigman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Zigman
Context triple: [Why Did I Get Married?, musicBy, Aaron Zigman]
  • A. Aaron Zigman chosen
    Aaron Zigman is an American composer and producer best known for his film scores on dramas and romantic films such as "The Notebook" and "John Q."
  • B. Mitchell Hurwitz
    Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
  • C. Strauss Zelnick
    Strauss Zelnick is an American media executive best known as the longtime CEO and chairman of video game publisher Take-Two Interactive, overseeing franchises like Grand Theft Auto and NBA 2K.
  • D. Bruce Greenwald
    Bruce Greenwald is a prominent American economist and value investing expert, widely known for his teaching and writings on value investing and competitive strategy.
  • E. Bo Goldman
    Bo Goldman was an acclaimed American screenwriter best known for his Oscar-winning work on films such as "One Flew Over the Cuckoo's Nest" and "Melvin and Howard."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa559848819082d1e61f586278dd completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcbb0e88190b4413c4ba3de0eeb completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.