Triple

T9954128
Position Surface form Disambiguated ID Type / Status
Subject Homer Simpson E195402 entity
Predicate hasRelative P367 FINISHED
Object Selma Bouvier E396369 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: Selma Bouvier | Statement: [Homer Simpson, hasRelative, Selma Bouvier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selma Bouvier
Context triple: [Homer Simpson, hasRelative, Selma Bouvier]
  • A. Selma Bouvier chosen
    Selma Bouvier is a chain-smoking, raspy-voiced DMV clerk and Marge Simpson’s cynical sister on the animated television series "The Simpsons."
  • B. Lise Bouvier
    Lise Bouvier is the young French woman who becomes the romantic focus of the story in the classic musical film "An American in Paris."
  • C. Laura Chase
    Laura Chase is a central, enigmatic figure in Margaret Atwood’s novel "The Blind Assassin," whose life and mysterious death profoundly shape the story’s layered narrative.
  • D. Rose Loomis
    Rose Loomis is the seductive and scheming wife portrayed by Marilyn Monroe in the 1953 film noir "Niagara."
  • E. Michelle Caroline Bouvier
    Michelle Caroline Bouvier was a member of the prominent Bouvier family, known primarily as a relative of socialite and First Lady Jacqueline Kennedy Onassis.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb694b95481909d049302818e7137 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2294335208190a0483c4e89abb359 completed April 5, 2026, 9:20 a.m.
Created at: March 30, 2026, 8:46 p.m.