Triple

T4930630
Position Surface form Disambiguated ID Type / Status
Subject Reinhold Niebuhr E110683 entity
Predicate militaryConflictView P59540 FINISHED
Object supported U.S. intervention in World War II 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: supported U.S. intervention in World War II | Statement: [Reinhold Niebuhr, militaryConflictView, supported U.S. intervention in World War II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryConflictView
Context triple: [Reinhold Niebuhr, militaryConflictView, supported U.S. intervention in World War II]
  • A. militaryConflict
    Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
  • B. militaryConflictCovered
    Indicates that one entity (such as a document, report, or media item) covers, describes, or reports on a specific military conflict involving another entity.
  • C. militaryConflictOversaw
    Indicates that one party had authoritative oversight or command responsibility over a military conflict involving another party.
  • D. warfareType
    Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
  • E. depictsConflict
    Indicates that one entity visually represents or portrays a situation of conflict involving another entity or entities.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd703a0fa48190809b6ac3f2731349 completed March 20, 2026, 4:05 p.m.
PD Predicate disambiguation batch_69bd6c3695c8819094e7ad2f6d4ba1ac completed March 20, 2026, 3:48 p.m.
PDg Predicate description generation batch_69bd6d3806f881909c06687e9e57b67f completed March 20, 2026, 3:52 p.m.
Created at: March 20, 2026, 1:30 p.m.