Triple

T1207297
Position Surface form Disambiguated ID Type / Status
Subject GPO E25917 entity
Predicate hasDirectorTitle P24645 FINISHED
Object Director of the Government Publishing Office 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: Director of the Government Publishing Office | Statement: [GPO, hasDirectorTitle, Director of the Government Publishing Office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDirectorTitle
Context triple: [GPO, hasDirectorTitle, Director of the Government Publishing Office]
  • A. notableDirector
    Indicates that a person has directed a work (such as a film or show) in a way that is recognized as significant or distinguished.
  • B. hasRepresentativeTitle
    Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
  • C. filmDirectorOfAppearance
    Indicates that a person served as the director for a specific appearance or segment within a film or audiovisual work.
  • D. featureDirectorialDebutOf
    Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
  • E. hasMusicDirector
    Indicates that an entity (such as a film, show, or production) is associated with a specific person who served as its music director.
  • F. None of above. chosen

Provenance (4 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69a4bb6078088190ba0221ae3368416c completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbf83584819088c69366f58586cc completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:46 p.m.