Triple

T14877105
Position Surface form Disambiguated ID Type / Status
Subject Danny McBride E349894 entity
Predicate workedWith P398 FINISHED
Object Jody Hill E942581 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: Jody Hill | Statement: [Danny McBride, workedWith, Jody Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jody Hill
Context triple: [Danny McBride, workedWith, Jody Hill]
  • A. Jody Hill chosen
    Jody Hill is an American filmmaker, writer, and director best known for creating and directing dark comedy projects such as the HBO series "Eastbound & Down" and "Vice Principals."
  • B. Rob Murray
    Rob Murray is a professional ice hockey coach and former player best known for his successful tenure leading minor league teams, including the Alaska Aces.
  • C. Evan Goldberg
    Evan Goldberg is a technology entrepreneur best known for founding the cloud-based business software company NetSuite.
  • D. Evan Goldberg
    Evan Goldberg is a Canadian screenwriter, director, and producer best known for co-creating and co-writing hit comedies such as Superbad, Pineapple Express, and This Is the End.
  • E. Mark Waters
    Mark Waters is an American film director best known for helming popular teen and fantasy comedies such as "Mean Girls" and "Freaky Friday."
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e4e4448190a8796573bc6d1069 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8192548190ad268b5804c97060 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:55 a.m.