Triple

T15225889
Position Surface form Disambiguated ID Type / Status
Subject Neil Hagerty E363877 entity
Predicate associatedAct P37 FINISHED
Object Pussy Galore E364954 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: Pussy Galore | Statement: [Neil Hagerty, associatedAct, Pussy Galore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pussy Galore
Context triple: [Neil Hagerty, associatedAct, Pussy Galore]
  • A. Pussy Galore
    Pussy Galore is a memorable Bond girl and skilled pilot who leads an all-female flying squadron in the James Bond film "Goldfinger."
  • B. Pussy Galore chosen
    Pussy Galore was an influential American noise rock and garage punk band from the 1980s underground scene, known for its abrasive sound and confrontational style.
  • C. The Lady Killer
    The Lady Killer is CeeLo Green’s critically acclaimed 2010 soul and R&B album best known for the hit single "Forget You."
  • D. Barbarella
    Barbarella is a 1968 cult science fiction film starring Jane Fonda, known for its campy, erotic space adventure style and iconic visual design.
  • E. A Hatful of Rain
    A Hatful of Rain is a 1957 American drama film that explores the impact of drug addiction on a young Korean War veteran and his family.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078bb32881909927561c6c072546 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd379ac081909ebb3a18c2ee3b3c completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.