Triple

T935081
Position Surface form Disambiguated ID Type / Status
Subject Abital E20176 entity
Predicate maritalRelationContext P16214 FINISHED
Object polygynous marriage of David 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: polygynous marriage of David | Statement: [Abital, maritalRelationContext, polygynous marriage of David]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritalRelationContext
Context triple: [Abital, maritalRelationContext, polygynous marriage of David]
  • A. maritalBasis chosen
    Indicates that the relationship or status in question is founded on, justified by, or determined due to a marital relationship between the involved entities.
  • 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. connectedThroughMarriageVia
    Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
  • D. spouseStatus
    Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
  • E. spouseMemberOf
    Indicates that a person’s spouse is a member of a specified group, organization, or entity.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b363ea5c819098ec1d87f785bad4 completed March 1, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69a4b29b245c8190b143f28b77fede3c completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.