Triple

T1119729
Position Surface form Disambiguated ID Type / Status
Subject Kamala Harris E11181 entity
Predicate attorneyGeneralTermEnd P4346 FINISHED
Object 2017-01-03 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: 2017-01-03 | Statement: [Kamala Harris, attorneyGeneralTermEnd, 2017-01-03]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: attorneyGeneralTermEnd
Context triple: [Kamala Harris, attorneyGeneralTermEnd, 2017-01-03]
  • A. officeholderEndTime chosen
    Indicates the time or date at which a person’s term in a particular office or position comes to an end.
  • B. hasUSAttorneyGeneral
    Indicates that an entity has, or is associated with, a specific individual serving as the Attorney General of the United States.
  • C. UNSecretaryGeneralTermEnd
    Indicates the date on which a person's tenure as Secretary-General of the United Nations officially ends.
  • D. endTimeAsSolicitorGeneral
    Indicates the date and time at which an individual’s service in the role of Solicitor General comes to an end.
  • E. vicePresidentialTermEnd
    Indicates the date or point in time when an individual's service in a specific vice presidential term comes to an end.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:43 p.m.