Triple

T26778652
Position Surface form Disambiguated ID Type / Status
Subject Trump–Ukraine scandal E670189 entity
Predicate positionHeldByMainProtagonist P180008 FINISHED
Object 45th president of the United States 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: 45th president of the United States | Statement: [Trump–Ukraine scandal, positionHeldByMainProtagonist, 45th president of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionHeldByMainProtagonist
Context triple: [Trump–Ukraine scandal, positionHeldByMainProtagonist, 45th president of the United States]
  • A. positionOfMainFigure
    Indicates the spatial location or placement of the primary or most important figure within a scene or composition.
  • B. protagonistLocation
    Indicates the location or setting where the story’s main protagonist is situated at a given time.
  • C. positionInAct
    Indicates the specific location or role that something occupies within a particular act or segment of a larger sequence or performance.
  • D. locationPosed
    Indicates that an entity is positioned or situated at a specific location.
  • E. alignmentWithProtagonist
    Indicates the degree to which an entity’s goals, actions, or loyalties are supportive of, neutral toward, or opposed to the protagonist.
  • 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_69eeb31c925881909b597f6e40056d28 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
PDg Predicate description generation batch_69f730890a008190a882f7828f1c9162 completed May 3, 2026, 11:24 a.m.
Created at: April 27, 2026, 4:07 a.m.