Triple

T12430440
Position Surface form Disambiguated ID Type / Status
Subject Cindy Klassen E297014 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 Klassen, givenName, Cindy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy
Context triple: [Cindy Klassen, 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ddc688190bddb242d67fa6e89 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349b075c8190b77cd51bc45be8ef completed May 2, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:55 p.m.