Triple

T25831869
Position Surface form Disambiguated ID Type / Status
Subject Gracie Allen for President comedy campaign E650684 entity
Predicate hasFictionalOfficeSought P118355 FINISHED
Object President of the United States LITERAL 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: President of the United States | Statement: [Gracie Allen for President comedy campaign, hasFictionalOfficeSought, President of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalOfficeSought
Context triple: [Gracie Allen for President comedy campaign, hasFictionalOfficeSought, President of the United States]
  • A. nominatedForOffice
    Indicates that an entity has been formally put forward as a candidate to hold a particular office or position.
  • B. possibleOfficeHeld chosen
    Indicates that an entity may have held, or is a candidate to have held, a particular office or position, without asserting it as a confirmed fact.
  • C. hasPresidentialOffice
    Indicates that an entity holds or is assigned the official office or position of a president.
  • D. builtUnderPoliticalOffice
    Indicates that the construction or creation of something occurred during the tenure of a particular political office or officeholder.
  • E. usesElectedOffice
    Indicates that an entity makes use of or leverages an elected public office in relation to another entity or context.
  • F. None of above.

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_69e7ab37438081908f1ccf6284839520 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6f8565134819096aac0175f924a9f completed May 3, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f6f65fd1d08190b88e5e68ba268500 completed May 3, 2026, 7:16 a.m.
Created at: April 22, 2026, 7:38 a.m.