Triple

T38071791
Position Surface form Disambiguated ID Type / Status
Subject Winter Soldier Program E950603 entity
Predicate consequenceForSubjects P812 FINISHED
Object psychological trauma 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: psychological trauma | Statement: [Winter Soldier Program, consequenceForSubjects, psychological trauma]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consequenceForSubjects
Context triple: [Winter Soldier Program, consequenceForSubjects, psychological trauma]
  • A. consequenceOfInfluence
    Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
  • B. hasConsequence chosen
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • C. consequenceInText
    Indicates that one event, action, or state is presented in the text as a consequence or result of another.
  • D. consequenceOfControl
    Indicates that one event, state, or outcome occurs as a result of another entity’s exercise of control or influence.
  • E. consequenceOfGoal
    Indicates that one situation, event, or state occurs as a result of pursuing or achieving a particular goal.
  • 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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fd2a215d6c8190a1a428ccaee603f1 completed May 8, 2026, 12:11 a.m.
PD Predicate disambiguation batch_69fd28ef19688190bb8370f2812a43e7 completed May 8, 2026, 12:06 a.m.
Created at: May 3, 2026, 4:21 p.m.