Triple

T17143176
Position Surface form Disambiguated ID Type / Status
Subject Springfield E416020 entity
Predicate hasResident P6481 FINISHED
Object Mayor Quimby E541325 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: Mayor Quimby | Statement: [Springfield, hasResident, Mayor Quimby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayor Quimby
Context triple: [Springfield, hasResident, Mayor Quimby]
  • A. Mayor Quimby chosen
    Mayor Quimby is a fictional, Kennedy-esque, often corrupt mayor of Springfield on the animated television series "The Simpsons."
  • B. Mayor Tortoise John
    Mayor Tortoise John is the scheming, wheelchair-bound tortoise who serves as the main antagonist and corrupt mayor in the animated Western film "Rango."
  • C. Mayor McGerkle
    Mayor McGerkle is a cheerful, well-meaning civic leader in the 2018 animated film "The Grinch," serving as the enthusiastic mayor of Whoville.
  • D. Mayor Keane
    Mayor Keane is a fictional political leader featured in the television series "The Salvation."
  • E. Quincy Magoo
    Quincy Magoo is a classic cartoon character portrayed as a wealthy, stubborn, and extremely nearsighted older man whose visual impairments lead to humorous misadventures.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d73c3c81908b875023bb925edb completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415718c88190834fedae7b01ac69 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.