Triple

T5168371
Position Surface form Disambiguated ID Type / Status
Subject Soraya Esfandiary-Bakhtiary E116613 entity
Predicate causeOfMarriageDissolution P13503 FINISHED
Object infertility 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: infertility | Statement: [Soraya Esfandiary-Bakhtiary, causeOfMarriageDissolution, infertility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfMarriageDissolution
Context triple: [Soraya Esfandiary-Bakhtiary, causeOfMarriageDissolution, infertility]
  • A. divorceReason chosen
    Indicates the reason or cause for which a marriage ended in divorce between two individuals.
  • B. maritalIssue
    Indicates a relationship where there is conflict, dissatisfaction, or significant strain within a marital or committed partnership.
  • C. marriageEndedBy
    Indicates that a marriage relationship between two entities has been terminated due to the action or decision of a specified party or event.
  • D. allowsDivorce
    Indicates that one party permits or grants another party the right or ability to dissolve a marriage or marital union.
  • E. marriageContext
    Indicates the situational or cultural circumstances under which a marriage occurs or exists, such as legal, social, or religious conditions surrounding the marital relationship.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794b87508190be3b82726ef4b37c completed March 20, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69bd77b36c008190b91011a9fa52b3d2 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:45 p.m.