Triple

T15106915
Position Surface form Disambiguated ID Type / Status
Subject Clarice E360810 entity
Predicate hasShortForm P43 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: [Clarice, hasShortForm, Claire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire
Context triple: [Clarice, hasShortForm, 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 fictional character named in the work "Lucky Lady," likely serving as one of its central figures.
  • C. Claire
    Claire is the central protagonist of the film "Intimacy," around whom the story’s emotional and relational tensions revolve.
  • D. Claire
    Claire is a character from the children's book "Picture Day," likely depicted as a young student navigating the small dramas and excitement surrounding school picture day.
  • E. 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."
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058af8988190977d998f85893836 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e912ac8190bd0e0c9cdbbd0194 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.