Triple

T23304338
Position Surface form Disambiguated ID Type / Status
Subject Chet Haze E590391 entity
Predicate notableWork P4 FINISHED
Object Larry Crowne NE NERFINISHED

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: Larry Crowne | Statement: [Chet Haze, notableWork, Larry Crowne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Crowne
Context triple: [Chet Haze, notableWork, Larry Crowne]
  • A. Larry Crowne chosen
    Larry Crowne is a 2011 romantic comedy-drama film, directed by and starring Tom Hanks alongside Julia Roberts, about a middle-aged man who reinvents his life by going back to college after losing his job.
  • B. Ron Burgundy
    Ron Burgundy is the pompous yet lovable 1970s San Diego news anchor protagonist of the comedy film "Anchorman," known for his over-the-top personality and catchphrases.
  • C. Tom Hunting
    Tom Hunting is an American drummer best known as a co-founder and longtime member of the Bay Area thrash metal band Exodus.
  • D. Danny Collins
    Danny Collins is a 2015 comedy-drama film about an aging rock star who tries to change his life after discovering a long-lost letter from John Lennon.
  • E. Michael Tolliver
    Michael Tolliver is a central gay character in Armistead Maupin’s "Tales of the City" series, known for his warm, vulnerable portrayal of queer life and relationships in San Francisco.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.