Triple

T23175479
Position Surface form Disambiguated ID Type / Status
Subject Test Pilot E578988 entity
Predicate screenwriter P2831 FINISHED
Object Vincent Lawrence 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: Vincent Lawrence | Statement: [Test Pilot, screenwriter, Vincent Lawrence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Lawrence
Context triple: [Test Pilot, 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 St. John
    Vincent St. John was a prominent early 20th-century American labor leader and radical organizer, best known for his influential role in militant union movements such as the Industrial Workers of the World.
  • D. Vincent Mason
    Vincent Mason, better known as Maseo, is an American DJ and producer best known as a founding member of the influential hip hop group De La Soul.
  • E. Vince Alexander
    Vince Alexander is a character in the 1949 film noir "The Crooked Way," involved in its dark, crime-driven narrative.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6a8644819099b107bb13ea16ff completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.