Triple

T15106914
Position Surface form Disambiguated ID Type / Status
Subject Clarice E360810 entity
Predicate hasShortForm P43 FINISHED
Object Clare E609234 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: [Clarice, hasShortForm, Clare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clare
Context triple: [Clarice, hasShortForm, Clare]
  • A. Clare chosen
    Clare is a given name commonly used as a shortened or familiar form of the name Clarence.
  • B. Clare
    Clare is a central character in Ali Smith’s novel "Hotel World," whose story explores themes of mortality, memory, and interconnected lives.
  • C. Clare
    Clare is a historic market town and civil parish in Suffolk, England, known for its medieval architecture and picturesque countryside setting.
  • D. Clare
    Clare is a feminine given name of Latin origin, often associated with clarity and brightness and borne by notable figures such as playwright and politician Clare Boothe Luce.
  • E. Clare
    Clare is a rural locality within Carrathool Shire in New South Wales, Australia.
  • 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.