Triple

T6538668
Position Surface form Disambiguated ID Type / Status
Subject Laura (film) E168229 entity
Predicate basedOnWorkAuthor P2806 FINISHED
Object Vera Caspary E574248 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: Vera Caspary | Statement: [Laura (film), basedOnWorkAuthor, Vera Caspary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Caspary
Context triple: [Laura (film), basedOnWorkAuthor, Vera Caspary]
  • A. Vera Caspary chosen
    Vera Caspary was an American novelist, screenwriter, and playwright best known for her crime novel "Laura" and her influential work in mid-20th-century Hollywood cinema.
  • B. Irving Morrow
    Irving Morrow was an American architect best known for designing the Art Deco elements and iconic International Orange color scheme of San Francisco’s Golden Gate Bridge.
  • C. Irwin Shaw
    Irwin Shaw was an American playwright, screenwriter, and novelist best known for works such as "The Young Lions" and "Rich Man, Poor Man."
  • D. George Herrmann
    George Herrmann was a distinguished engineer and applied mechanician recognized for his influential contributions to the field, as evidenced by his receipt of the prestigious Timoshenko Medal.
  • E. Margaret Millar
    Margaret Millar was a Canadian-American mystery and suspense novelist renowned for her psychologically complex crime fiction and influential contributions to mid-20th-century detective literature.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add4b7f881909e485325c353f51c completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5389fac8190bbad946de79d6086 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:49 p.m.