Triple

T1660558
Position Surface form Disambiguated ID Type / Status
Subject James Garner E35894 entity
Predicate name P16 FINISHED
Object James Garner E35894 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: James Garner | Statement: [James Garner, name, James Garner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Garner
Context triple: [James Garner, name, James Garner]
  • A. James Garner chosen
    James Garner was an American actor best known for his charming, laid-back roles in television series like "Maverick" and "The Rockford Files" as well as numerous films.
  • B. Andy Griffith
    Andy Griffith was an American actor, comedian, and singer best known for his iconic role as Sheriff Andy Taylor on the classic television sitcom "The Andy Griffith Show."
  • C. James Brolin
    James Brolin is an American actor and director known for his roles in film and television, including "Westworld," "Marcus Welby, M.D.," and "Hotel."
  • D. Eric Roberts
    Eric Roberts is an American actor known for his prolific film and television career, including an iconic turn as the villainous Time Lord known as the Master in the 1996 Doctor Who TV movie.
  • E. David Wayne
    David Wayne was an American character actor known for his versatile performances in film, television, and theater from the 1940s through the 1980s.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90ab2a3488190a67c110a70d652c9 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad682ab8a08190bdb33d79d5083029 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.