Triple

T21945636
Position Surface form Disambiguated ID Type / Status
Subject Christy Brown E541925 entity
Predicate givenName P17 FINISHED
Object Christy 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: Christy | Statement: [Christy Brown, givenName, Christy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christy
Context triple: [Christy Brown, givenName, Christy]
  • A. Christy chosen
    Christy was the nickname of Christy Mathewson, a legendary early 20th-century Major League Baseball pitcher and Hall of Famer known for his dominance with the New York Giants.
  • B. Christy
    "Christy" is a television drama series based on Catherine Marshall's novel about a young teacher in an impoverished Appalachian community in the early 20th century, featuring Tyne Daly in a prominent role.
  • C. Christy
    Christy is a surname most notably associated with American astronomer James W. Christy, who discovered Pluto’s moon Charon.
  • D. Christy Knowings
    Christy Knowings is an American actress and comedian best known for her work as a cast member on the Nickelodeon sketch comedy series "All That."
  • E. Christy Cummings
    Christy Cummings is a driven, no-nonsense professional dog trainer and handler featured as one of the eccentric competitors in the mockumentary film "Best in Show."
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12427c2b48190949c41bd3be2d9f3 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.