Triple

T19715529
Position Surface form Disambiguated ID Type / Status
Subject Cynthia Jane Williams E473466 entity
Predicate givenName P17 FINISHED
Object Cynthia 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: Cynthia | Statement: [Cynthia Jane Williams, givenName, Cynthia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cynthia
Context triple: [Cynthia Jane Williams, givenName, Cynthia]
  • A. Cynthia chosen
    Cynthia is a common feminine given name used in various cultures, often associated with the Greek moon goddess Artemis.
  • B. Cindy
    Cindy is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls.
  • C. Cindy
    Cindy is a fictional character from the action film "Commando," appearing as part of the movie’s high-stakes rescue storyline.
  • D. Cindy
    Cindy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Cynthia or Lucinda.
  • E. Carmyne
    Carmyne is a given name, typically a variant spelling of Carmine, used for both males and females.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440cb47c81908124dfbd6f781d23 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.