Triple

T20295345
Position Surface form Disambiguated ID Type / Status
Subject James Gammon E505334 entity
Predicate name P16 FINISHED
Object James Gammon 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: James Gammon | Statement: [James Gammon, name, James Gammon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Gammon
Context triple: [James Gammon, name, James Gammon]
  • A. James Gammon chosen
    James Gammon was an American character actor known for his gruff voice and rugged roles in films like "Major League" and numerous television series.
  • B. Robert Falls
    Robert Falls is an American theater director and former artistic director of the Goodman Theatre in Chicago, known for his innovative and often large-scale stage productions.
  • C. Jeff Daniels
    Jeff Daniels is an American actor known for his versatile performances in film, television, and theater, with notable roles in works ranging from dramas like "The Newsroom" to comedies like "Dumb and Dumber."
  • D. Martin Shaw
    Martin Shaw is a British actor known for his extensive work in television, film, and theatre, including prominent roles in series such as "The Professionals" and "Judge John Deed."
  • E. Martin Shaw
    Martin Shaw is a fictional character from the psychological horror film "Seven Days to Live."
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:15 a.m.