Triple

T12363502
Position Surface form Disambiguated ID Type / Status
Subject David Keith E294799 entity
Predicate name P16 FINISHED
Object David Keith E294799 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: David Keith | Statement: [David Keith, name, David Keith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Keith
Context triple: [David Keith, name, David Keith]
  • A. David Keith chosen
    David Keith is an American actor known for his roles in films such as "An Officer and a Gentleman" and "Firestarter."
  • B. Danny Jacobson
    Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
  • C. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • D. Ray Cline
    Ray Cline was a prominent American intelligence officer and analyst who held senior positions in the CIA and became known for his influential role in shaping U.S. Cold War intelligence and national security policy.
  • E. Chris Grant
    Chris Grant is a professional choreographer best known for creating dance routines for major pop artists, including work on Beyoncé’s tours.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa3f958819080555bcae9958a53 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab9ea4c81908313b11716ad7c43 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.