Triple

T14242483
Position Surface form Disambiguated ID Type / Status
Subject Lisa the Simpson E353044 entity
Predicate featuresCharacter P626 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: [Lisa the Simpson, featuresCharacter, Selma Bouvier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selma Bouvier
Context triple: [Lisa the Simpson, featuresCharacter, 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. Assumpta Fitzgerald
    Assumpta Fitzgerald is a sharp-witted, independent pub owner in the Irish village of Ballykissangel and a central figure in the British television drama of the same name.
  • E. Rose Loomis
    Rose Loomis is the seductive and scheming wife portrayed by Marilyn Monroe in the 1953 film noir "Niagara."
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6244ad188190b9d9db7914240410 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28235880819094f5983cce01b0fc completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:08 a.m.