Triple

T10466897
Position Surface form Disambiguated ID Type / Status
Subject Claire Tomalin E246821 entity
Predicate givenName P17 FINISHED
Object Claire E97238 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: Claire | Statement: [Claire Tomalin, givenName, Claire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire
Context triple: [Claire Tomalin, givenName, Claire]
  • A. Claire chosen
    Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
  • B. Claire
    Claire is a sharp-tongued, alcoholic sister whose acerbic wit and emotional volatility provide both dark humor and tension in Edward Albee’s play "A Delicate Balance."
  • C. Claire Marie
    Claire Marie was a small early 20th-century avant-garde publishing imprint associated with experimental modernist literature.
  • D. Claire Louise
    Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
  • E. Claireece
    Claireece is the birth name of the fictional character known as Precious, the abused and illiterate Harlem teenager at the center of Sapphire’s novel "Push" and its film adaptation "Precious."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fe6129881908c658ff977e68135 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.