Triple

T2831188
Position Surface form Disambiguated ID Type / Status
Subject Fiona Hill E62239 entity
Predicate topicOfTestimony P7873 FINISHED
Object U.S. policy toward Ukraine 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: U.S. policy toward Ukraine | Statement: [Fiona Hill, topicOfTestimony, U.S. policy toward Ukraine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topicOfTestimony
Context triple: [Fiona Hill, topicOfTestimony, U.S. policy toward Ukraine]
  • A. subjectOfInquest
    Indicates that an entity is the focus or target of a formal inquest or official investigative proceeding.
  • B. gaveTestimonyIn
    Indicates that one entity provided formal testimony or a statement in an official proceeding, event, or context associated with another entity.
  • C. hasTestimony chosen
    Indicates that an entity provides, contains, or is associated with a formal statement or account (testimony) about another entity or event.
  • D. subjectOfProsecution
    Indicates that an entity is the target or focus of a legal prosecution or criminal proceeding initiated by an authority.
  • E. hasBeenSubjectOf
    Indicates that an entity has previously been the focus or target of a particular action, process, or investigation.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebd5a2c81908f0e30a0ae0eb8df completed March 7, 2026, 8:15 a.m.
PD Predicate disambiguation batch_69abdd0acab881909e8c25cbef83678c completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:01 p.m.