Triple

T21055390
Position Surface form Disambiguated ID Type / Status
Subject Anne More E518694 entity
Predicate causeOfSpouseImprisonment P3353 FINISHED
Object secret marriage without consent of her father 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: secret marriage without consent of her father | Statement: [Anne More, causeOfSpouseImprisonment, secret marriage without consent of her father]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfSpouseImprisonment
Context triple: [Anne More, causeOfSpouseImprisonment, secret marriage without consent of her father]
  • A. spouseConvictionPenalty
    Indicates that a penalty or sentence resulting from a conviction applies to, or is associated with, a person’s spouse.
  • B. imprisonedFor chosen
    Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
  • C. spouseInvolvedIn
    Indicates that a person's spouse participates in, is associated with, or plays a role in a specified activity, event, or situation.
  • D. imprisonedWith
    Indicates that two entities are confined or held in prison together at the same time and place.
  • E. spouseExecutedFor
    Indicates that one person’s spouse was put to death, typically as a result of a legal or punitive execution.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7edb8481908e4dc7573f7fa98f completed April 21, 2026, 4:30 a.m.
PD Predicate disambiguation batch_69e5dbf9d71881908cd85dfc37db93ca completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:36 p.m.