Triple

T23059707
Position Surface form Disambiguated ID Type / Status
Subject Keefe Brasselle E574262 entity
Predicate notableWork P4 FINISHED
Object Skirts Ahoy! 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: Skirts Ahoy! | Statement: [Keefe Brasselle, notableWork, Skirts Ahoy!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skirts Ahoy!
Context triple: [Keefe Brasselle, notableWork, Skirts Ahoy!]
  • A. Skirts Ahoy! chosen
    Skirts Ahoy! is a 1952 American musical comedy film set in the U.S. Navy WAVES program, known for its lighthearted romance, songs, and ensemble cast.
  • B. Skirtchasers
    Skirtchasers is a film directed by actress and filmmaker Amanda Bearse, best known for her role on the sitcom "Married... with Children."
  • C. Slantsy
    Slantsy is a town in northwestern Russia known historically for its shale mining and chemical industries.
  • D. Two Girls and a Sailor
    Two Girls and a Sailor is a 1944 MGM musical comedy film featuring June Allyson in one of her early star-making roles.
  • E. Flights of Fancy
    Flights of Fancy is a large, interactive bird exhibit at the Indianapolis Zoo featuring diverse avian species in walk-through aviaries and engaging educational experiences.
  • 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_69f1899f359081909e89e19db3833a3d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.