Triple

T1495741
Position Surface form Disambiguated ID Type / Status
Subject Isabella of Gloucester E29680 entity
Predicate legalStatusOfMarriageToJohn P28643 FINISHED
Object initially required papal dispensation 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: initially required papal dispensation | Statement: [Isabella of Gloucester, legalStatusOfMarriageToJohn, initially required papal dispensation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusOfMarriageToJohn
Context triple: [Isabella of Gloucester, legalStatusOfMarriageToJohn, initially required papal dispensation]
  • A. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • B. marital status
    Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
  • C. spouseStatus
    Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
  • D. marriageDocumentedIn
    Indicates that a marriage event is recorded or evidenced in a specific document or source.
  • E. religiousStatus
    Indicates the religious affiliation, role, or standing that an entity holds within a religious context.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ec70c48190a94f6e1002848eae completed March 1, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69a4c48902808190a8028d359bcf123e completed March 1, 2026, 10:58 p.m.
PDg Predicate description generation batch_69a4c52c703c8190a56389b09d97659f completed March 1, 2026, 11:01 p.m.
Created at: March 1, 2026, 8:12 p.m.