Triple

T15349101
Position Surface form Disambiguated ID Type / Status
Subject Kerry Clare E367000 entity
Predicate partnerInWork P398 FINISHED
Object Lindsay Clare E367001 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: Lindsay Clare | Statement: [Kerry Clare, partnerInWork, Lindsay Clare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindsay Clare
Context triple: [Kerry Clare, partnerInWork, Lindsay Clare]
  • A. Lindsay Clare chosen
    Lindsay Clare is an Australian architect known for designing prominent public buildings, including major cultural institutions.
  • B. Sarah Lancaster
    Sarah Lancaster is an American actress best known for her television roles, including playing Ellie Bartowski on the series "Chuck."
  • C. Elizabeth Layton
    Elizabeth Layton is Winston Churchill’s young personal secretary and typist, depicted as a close and observant aide during the early years of World War II.
  • D. Rebecca Caine
    Rebecca Caine is a Canadian soprano and musical theatre actress best known for her work in productions such as Les Misérables and The Phantom of the Opera.
  • E. Carina Walters
    Carina Walters is a Marvel Comics character closely tied to cosmic storylines, particularly through her relationship with the powerful villain Korvac.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e27f8a88190a0f65756e3a1fdfc completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b43bfcc8190b1b373ee10786f1e completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:17 a.m.