Triple

T19843732
Position Surface form Disambiguated ID Type / Status
Subject David Dayan Fisher E476802 entity
Predicate name P16 FINISHED
Object David Dayan Fisher 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: David Dayan Fisher | Statement: [David Dayan Fisher, name, David Dayan Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Dayan Fisher
Context triple: [David Dayan Fisher, name, David Dayan Fisher]
  • A. David Dayan Fisher chosen
    David Dayan Fisher is a British actor known for his frequent villainous roles in film, television, and video games, including appearances in series like "NCIS" and the "Kingdom Hearts" franchise.
  • B. Jonathan Gilad
    Jonathan Gilad is an Israeli classical pianist recognized for his virtuosic performances and success in major international piano competitions.
  • C. David Bar Katz
    David Bar Katz is an American playwright and screenwriter known for his work in theater, film, and television.
  • D. Jeremy Yaffe
    Jeremy Yaffe is an American nurse best known as the first wife of actor Alan Arkin and the mother of actor Adam Arkin.
  • E. Ben Dorfman
    Ben Dorfman is a fictional character in Woody Allen’s 2016 romantic comedy film "Café Society."
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65806ea888190850421154238d91c completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.