Triple

T4225479
Position Surface form Disambiguated ID Type / Status
Subject Clara E94446 entity
Predicate relatedName P3889 FINISHED
Object Clare unclear NED1 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: Clare | Statement: [Clara, relatedName, Clare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clare
Context triple: [Clara, relatedName, Clare]
  • A. Clare
    Clare is a historic market town and civil parish in Suffolk, England, known for its medieval architecture and picturesque countryside setting.
  • B. Clare
    Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
  • C. Clare
    Clare is a small town in South Australia that serves as the main service and tourism hub for the surrounding Clare Valley wine region.
  • D. Clare West
    Clare West was an early Hollywood costume designer known for her influential work on major silent films, including collaborations with director Cecil B. DeMille.
  • E. Erin
    Erin is a feminine given name commonly used in English-speaking countries, often associated with the poetic name for Ireland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4d32d481909df7b18f502945b8 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59647bd948190afc168ba1057a52f completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.