Triple

T7494772
Position Surface form Disambiguated ID Type / Status
Subject Bedtime Stories E177094 entity
Predicate featuresCharacter P626 FINISHED
Object Jill 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: Jill | Statement: [Bedtime Stories, featuresCharacter, Jill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill
Context triple: [Bedtime Stories, featuresCharacter, 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. Jillian
    Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
  • D. Jenny
    Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
  • 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. 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57b5b4c8190ab839e6a98ee86ed completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c819f00819087fef27e4f4fdc1c completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:43 p.m.