Triple

T10338878
Position Surface form Disambiguated ID Type / Status
Subject The Two Jakes E243076 entity
Predicate stars P1956 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: [The Two Jakes, stars, David Keith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Keith
Context triple: [The Two Jakes, stars, 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a470948190959f298dd6110bf3 completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7506278f881908b090b13706e5d4e completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:54 a.m.