Triple

T27372294
Position Surface form Disambiguated ID Type / Status
Subject Sumayyah bint Khayyat E690357 entity
Predicate facedPersecutionFor P163101 FINISHED
Object accepting Islam 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: accepting Islam | Statement: [Sumayyah bint Khayyat, facedPersecutionFor, accepting Islam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facedPersecutionFor
Context triple: [Sumayyah bint Khayyat, facedPersecutionFor, accepting Islam]
  • A. wasPersecutedBy
    Indicates that an entity was subjected to persistent hostility, oppression, or harmful treatment carried out by another entity.
  • B. persecutedIn
    Indicates that an entity is subjected to oppression, harassment, or unfair treatment within a particular place, context, or time period.
  • C. persecutedDuring
    Indicates that one entity systematically harassed, oppressed, or victimized another entity during a specified time period or event.
  • D. persecutionOf
    Indicates the act of subjecting an entity to persistent, often unjust hostility, harassment, or oppression, typically on the basis of identity, beliefs, or group membership.
  • E. persecutedAfter
    Indicates that one entity is subjected to persecution by another entity after a specified event or point in time.
  • 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_69ef51ff826081909e42c8e2bfb97941 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69f631850ae08190a0ba51e4f1e4ccb3 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6352df6148190bc10772cd40bd7b3 completed May 2, 2026, 5:32 p.m.
Created at: April 27, 2026, 12:19 p.m.