Triple

T23059178
Position Surface form Disambiguated ID Type / Status
Subject Vera Caspary E574248 entity
Predicate name P16 FINISHED
Object Vera Caspary 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: Vera Caspary | Statement: [Vera Caspary, name, Vera Caspary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vera Caspary
Context triple: [Vera Caspary, name, 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. Vicki Baum
    Vicki Baum was an Austrian-born novelist and journalist best known for her 1929 novel "Grand Hotel," which became an international bestseller and inspired the acclaimed 1932 film adaptation.
  • D. 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."
  • E. Sidney Lippman
    Sidney Lippman was an American songwriter best known for co-writing the popular 1951 hit song "Too Young."
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899e6c788190a2a862122cae8dc3 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.