Triple

T15441233
Position Surface form Disambiguated ID Type / Status
Subject Quiz E369904 entity
Predicate composer P1361 FINISHED
Object Nathan Barr E343717 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: Nathan Barr | Statement: [Quiz, composer, Nathan Barr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Barr
Context triple: [Quiz, composer, Nathan Barr]
  • A. Nathan Barr chosen
    Nathan Barr is an American film and television composer known for his atmospheric scores on projects ranging from horror films to acclaimed series like True Blood and The Americans.
  • B. Linwood Barclay
    Linwood Barclay is a Canadian author best known for his bestselling crime and thriller novels, often featuring ordinary people caught in extraordinary and suspenseful situations.
  • C. Douglas Roberts
    Douglas Roberts is known primarily as one of the sons of American cable television pioneer and Comcast co-founder Ralph J. Roberts.
  • D. Jim Gentry
    Jim Gentry is a central male character in the 1952 melodrama film "Ruby Gentry," serving as Ruby's wealthy love interest and a key figure in the story's romantic and social conflicts.
  • E. Stephen Hunter
    Stephen Hunter is an American novelist and Pulitzer Prize–winning film critic best known for his Bob Lee Swagger sniper thriller series.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf7ce7c8190810ef35b6e37254d completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.