Triple

T588568
Position Surface form Disambiguated ID Type / Status
Subject Director of the Central Intelligence Agency E17214 entity
Predicate officeHolderMustHave P2718 FINISHED
Object United States citizenship 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: United States citizenship | Statement: [Director of the Central Intelligence Agency, officeHolderMustHave, United States citizenship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeHolderMustHave
Context triple: [Director of the Central Intelligence Agency, officeHolderMustHave, United States citizenship]
  • A. officeHoldersMustBe chosen
    Indicates that individuals who hold a particular office are required to possess a specified status, qualification, or characteristic.
  • B. officeHolderMayBe
    Indicates that a specified person is permitted or eligible to hold a particular office or position.
  • C. officeHoldersMustNot
    Indicates that certain individuals are prohibited from holding specified offices or positions.
  • D. officeHolderOf
    Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
  • E. officeHolderUsually
    Indicates that an entity is the person who typically or customarily holds a particular office or position.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9d1e68819096a9b5e7b2e83d6e completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494ca68448190a516b9c3525d8916 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.