Triple

T13550030
Position Surface form Disambiguated ID Type / Status
Subject Cynthia Erivo E323617 entity
Predicate givenName P17 FINISHED
Object Cynthia 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: Cynthia | Statement: [Cynthia Erivo, givenName, Cynthia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cynthia
Context triple: [Cynthia Erivo, 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. Carmyne
    Carmyne is a given name, typically a variant spelling of Carmine, used for both males and females.
  • E. Renee
    Renee is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78add2b0c8190ade1af991744c4e0 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:46 p.m.