Triple

T6816920
Position Surface form Disambiguated ID Type / Status
Subject Frances Nisbet E156785 entity
Predicate hasCauseOfSeparation P13503 FINISHED
Object Nelson's relationship with Emma Hamilton 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: Nelson's relationship with Emma Hamilton | Statement: [Frances Nisbet, hasCauseOfSeparation, Nelson's relationship with Emma Hamilton]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCauseOfSeparation
Context triple: [Frances Nisbet, hasCauseOfSeparation, Nelson's relationship with Emma Hamilton]
  • A. divorceReason chosen
    Indicates the reason or cause for which a marriage ended in divorce between two individuals.
  • B. marriageEndedBy
    Indicates that a marriage relationship between two entities has been terminated due to the action or decision of a specified party or event.
  • C. allowsDivorce
    Indicates that one party permits or grants another party the right or ability to dissolve a marriage or marital union.
  • D. maritalIssue
    Indicates a relationship where there is conflict, dissatisfaction, or significant strain within a marital or committed partnership.
  • E. spouseRelationshipEnd
    Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d354177481908ab3cf5437c095e2 completed March 27, 2026, 6:58 p.m.
PD Predicate disambiguation batch_69c6d09bb4f881909bf20c188cb3e8e1 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:17 p.m.