Triple

T4763869
Position Surface form Disambiguated ID Type / Status
Subject Gentleman Jim E105761 entity
Predicate screenwriter P2831 FINISHED
Object Vincent Lawrence E146000 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: Vincent Lawrence | Statement: [Gentleman Jim, screenwriter, Vincent Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Lawrence
Context triple: [Gentleman Jim, screenwriter, Vincent Lawrence]
  • A. Vincent Lawrence chosen
    Vincent Lawrence was an American playwright and screenwriter active in early 20th-century theater and film.
  • B. Vincent Franklin
    Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
  • C. Vincent Regan
    Vincent Regan is a British actor known for his roles in historical and action films such as "300," "Troy," and "Clash of the Titans."
  • D. Vaughn Franklin
    Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
  • E. Arvin Brown
    Arvin Brown is an American theatre and television director best known for his long tenure leading and shaping the artistic vision of New Haven’s Long Wharf Theatre.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6530f0648190b76db9964471cfeb completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a87741081909380c51ba4efed92 completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:20 p.m.