Triple

T17030268
Position Surface form Disambiguated ID Type / Status
Subject Gilbert O'Sullivan E413174 entity
Predicate notableWork P4 FINISHED
Object Clair E1076210 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: Clair | Statement: [Gilbert O'Sullivan, notableWork, Clair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clair
Context triple: [Gilbert O'Sullivan, notableWork, Clair]
  • A. Clair
    Clair is a feminine given name most famously associated with the character Clair Huxtable from the television series "The Cosby Show."
  • B. Clair chosen
    Clair is a small Canadian community in New Brunswick known for its location on the Saint John River opposite Fort Kent, Maine, and its role as a local border crossing point.
  • C. Clarinda
    Clarinda was the pseudonym of Agnes Maclehose, a Scottish woman best known for her romantic correspondence with poet Robert Burns.
  • D. Clarinda
    Clarinda is a small city in southwestern Iowa known for its agricultural community and historic Midwestern charm.
  • E. Clara
    Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d918ec8190b54c40c2a5e9b6b9 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b553c588190b46785b85142dce5 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.