Triple

T10361090
Position Surface form Disambiguated ID Type / Status
Subject Tony Bill E244133 entity
Predicate notableWork P4 FINISHED
Object Crazy People E702311 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: Crazy People | Statement: [Tony Bill, notableWork, Crazy People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crazy People
Context triple: [Tony Bill, notableWork, Crazy People]
  • A. Crazy People chosen
    Crazy People is a 1990 comedy film starring Dudley Moore as an advertising executive who creates brutally honest ad campaigns while in a psychiatric hospital.
  • B. The Crazy Ones
    The Crazy Ones is an American workplace sitcom starring Robin Williams and Sarah Michelle Gellar as a quirky father-daughter duo running an advertising agency.
  • C. Crazy Man, Crazy
    "Crazy Man, Crazy" is a pioneering 1953 rock and roll single by Bill Haley & His Comets that helped bring the emerging genre into mainstream popularity.
  • D. Crazy Kids
    "Crazy Kids" is a pop-rap party anthem by Kesha featuring will.i.am, known for its carefree lyrics and energetic, electronic production.
  • E. C.R.A.Z.Y.
    C.R.A.Z.Y. is a 2005 Quebecois coming-of-age drama film that follows a young man’s struggle with identity, family, and sexuality across several decades, directed by Jean-Marc Vallée.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96209548190957368ee8c6a9ec3 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750b6ef248190bdbe16bbb8efcf88 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:59 a.m.