Triple

T7693155
Position Surface form Disambiguated ID Type / Status
Subject 2012 shooting of Malala Yousafzai E174297 entity
Predicate longTermImpactOnVictim P54758 FINISHED
Object Malala Yousafzai became global symbol of girls' education 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: Malala Yousafzai became global symbol of girls' education | Statement: [2012 shooting of Malala Yousafzai, longTermImpactOnVictim, Malala Yousafzai became global symbol of girls' education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: longTermImpactOnVictim
Context triple: [2012 shooting of Malala Yousafzai, longTermImpactOnVictim, Malala Yousafzai became global symbol of girls' education]
  • A. portraysAsVictim
    Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
  • B. isVictimOf
    Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
  • C. impactOutcome chosen
    Indicates that one entity produces an effect or influence that changes the result, consequence, or final state of another entity or situation.
  • D. coVictim
    Indicates that two or more entities are victims in the same harmful event or incident.
  • E. hasVictims
    Indicates that an entity has one or more individuals who have been harmed, injured, or adversely affected by it.
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c706d1f0208190bc5b695aa5736244 completed March 27, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69c70163dea88190ae729df50e63dfd7 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:02 p.m.