Triple

T600230
Position Surface form Disambiguated ID Type / Status
Subject Ava Helen Pauling E11475 entity
Predicate supportedCause P10437 FINISHED
Object nuclear disarmament 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: nuclear disarmament | Statement: [Ava Helen Pauling, supportedCause, nuclear disarmament]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportedCause
Context triple: [Ava Helen Pauling, supportedCause, nuclear disarmament]
  • A. causeSupported chosen
    Indicates that an entity provides backing, endorsement, or assistance to a particular cause or initiative.
  • B. support
    Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
  • C. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • D. supportedConflict
    Indicates that one party provided assistance, resources, or endorsement to a side involved in a conflict or dispute.
  • E. supportedAct
    Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc4f7d08190990f70b9b3af6ce5 completed March 1, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69a49cf59cd0819084e67981cb371e25 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.