Triple

T12250777
Position Surface form Disambiguated ID Type / Status
Subject Cindy McCain E291964 entity
Predicate givenName P17 FINISHED
Object Cindy E48557 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: Cindy | Statement: [Cindy McCain, givenName, Cindy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy
Context triple: [Cindy McCain, givenName, Cindy]
  • A. Cindy
    Cindy is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls.
  • B. Cindy
    Cindy is a fictional character from the action film "Commando," appearing as part of the movie’s high-stakes rescue storyline.
  • C. "Cindy"
    "Cindy" is a song featured in the 1959 Western film "Rio Bravo," performed in a memorable musical scene by the film’s characters.
  • D. Cynthia chosen
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • E. Cindy Green
    Cindy Green is a central character in the fantasy drama film "The Odd Life of Timothy Green," portrayed as a hopeful, loving woman who longs to become a mother.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abbf75c81908a25e1c0a4aee8c1 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.