Triple

T6635404
Position Surface form Disambiguated ID Type / Status
Subject In the French Style E150435 entity
Predicate hasCastMember P2308 FINISHED
Object Stanley Baker E228691 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: Stanley Baker | Statement: [In the French Style, hasCastMember, Stanley Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Baker
Context triple: [In the French Style, hasCastMember, Stanley Baker]
  • A. Stanley Baker chosen
    Stanley Baker was a Welsh actor and film producer known for his intense screen presence and prominent roles in British cinema of the 1950s and 1960s.
  • B. John Gavin
    John Gavin was an American film actor and diplomat best known for his leading roles in classic films of the late 1950s and early 1960s, including "Psycho" and "Imitation of Life."
  • C. Alan Baxter
    Alan Baxter was an American character actor known for his roles in mid-20th-century film and television, often portraying tough or villainous figures.
  • D. Robert Clark
    Robert Clark, better known as Robert Indiana, was an American artist associated with the pop art movement, famed for his iconic "LOVE" image and bold, text-based works.
  • E. Robert Clark
    Robert Clark was a British film producer best known for his work on mid-20th-century war and adventure films.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcc1c9c819087fcde19a5d49fd2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723b575a08190a3e0b1f233c36ba0 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 1:59 p.m.