Triple

T12496496
Position Surface form Disambiguated ID Type / Status
Subject Nancy Kelly E298699 entity
Predicate name P16 FINISHED
Object Nancy Kelly E298699 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: Nancy Kelly | Statement: [Nancy Kelly, name, Nancy Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Kelly
Context triple: [Nancy Kelly, name, Nancy Kelly]
  • A. Nancy Kelly chosen
    Nancy Kelly was an American stage, film, and television actress best known for her Academy Award-nominated performance in the 1956 film "The Bad Seed."
  • B. Nancy Perkins
    Nancy Perkins is known primarily as one of the daughters of renowned American book editor Maxwell Perkins.
  • C. Nancy Weston
    Nancy Weston was the mother of prominent African American lawyer, journalist, and civil rights leader Archibald Grimké.
  • D. Nancy Weston
    Nancy Weston is a central character on the late-1980s television drama "thirtysomething," known for her complex personal struggles and evolving relationships within the show's close-knit group of friends.
  • E. Nancy Callahan
    Nancy Callahan is a fictional character from Frank Miller's "Sin City" graphic novels and their film adaptations, known as a resilient and compassionate stripper who survives childhood trauma.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718ad25c8190b4d0d51d48c070dd completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:57 p.m.