Triple

T14678727
Position Surface form Disambiguated ID Type / Status
Subject Jill Gascoine E344717 entity
Predicate givenName P17 FINISHED
Object Jill E190234 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: Jill | Statement: [Jill Gascoine, givenName, Jill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill
Context triple: [Jill Gascoine, givenName, Jill]
  • A. Jill
    Jill is the NATO reporting name for the Japanese Nakajima B6N Tenzan, a World War II carrier-based torpedo bomber used by the Imperial Japanese Navy.
  • B. Jill
    Jill is a novel by English poet and writer Philip Larkin, often noted for its portrayal of wartime Oxford and themes of isolation and imagination.
  • C. Jill
    Jill is a supporting character from the animated film "Puss in Boots," typically depicted as part of the outlaw duo Jack and Jill.
  • D. Jillian chosen
    Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
  • E. Jenny
    Jenny is a central character in Kurt Weill and Bertolt Brecht’s opera "Rise and Fall of the City of Mahagonny," often portrayed as a pragmatic, disillusioned prostitute who embodies the work’s critique of capitalist excess and moral decay.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb567c2b88190a9639e61b6fba7df completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17e5a1c8190b1bf5565eab9d519 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.