Triple

T12902332
Position Surface form Disambiguated ID Type / Status
Subject A Higher Loyalty: Truth, Lies, and Leadership E308639 entity
Predicate subjectOccupationOfAuthor P2374 FINISHED
Object former Director of the Federal Bureau of Investigation 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: former Director of the Federal Bureau of Investigation | Statement: [A Higher Loyalty: Truth, Lies, and Leadership, subjectOccupationOfAuthor, former Director of the Federal Bureau of Investigation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectOccupationOfAuthor
Context triple: [A Higher Loyalty: Truth, Lies, and Leadership, subjectOccupationOfAuthor, former Director of the Federal Bureau of Investigation]
  • A. authorOccupation
    Indicates the professional role or job that an author holds or is associated with.
  • B. subjectOccupation chosen
    Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
  • C. publisherProfessionOfAuthor
    Indicates that the profession specified is the occupation or professional role of the author associated with a given publisher.
  • D. hasBiographicalSubjectOccupation
    Indicates that the biographical subject is or was engaged in the specified occupation or profession.
  • E. academicFieldOfAuthor
    Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69d96fa776648190b9b5c30722ea50b6 completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:40 p.m.