Triple

T13882085
Position Surface form Disambiguated ID Type / Status
Subject State Fair (1933 film) E333742 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Phil Stong E434767 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: Phil Stong | Statement: [State Fair (1933 film), authorOfSourceWork, Phil Stong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Stong
Context triple: [State Fair (1933 film), authorOfSourceWork, Phil Stong]
  • A. Phil Stong chosen
    Phil Stong was an American novelist and journalist best known for his 1932 novel "State Fair," which inspired multiple film adaptations.
  • B. Phil Wenneck
    Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
  • C. Phil Brent
    Phil Brent is a fictional character from the soap opera "All My Children," known for his complex family relationships and dramatic storylines.
  • D. Kirk Stievely
    Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
  • E. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be8566881908b8902e3cd567669 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cce10c88190bf25404fc4c75bbf completed May 8, 2026, 4:18 p.m.
Created at: April 9, 2026, 10:15 p.m.