Triple

T1090226
Position Surface form Disambiguated ID Type / Status
Subject Alicia Nash E24144 entity
Predicate remarriageToSameSpouse P23362 FINISHED
Object 1970s 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: 1970s | Statement: [Alicia Nash, remarriageToSameSpouse, 1970s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: remarriageToSameSpouse
Context triple: [Alicia Nash, remarriageToSameSpouse, 1970s]
  • A. marriedInto
    Indicates that one entity became connected to another’s family or group through marriage, rather than by birth or prior membership.
  • B. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • 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. numberOfMarriagesOfSpouse
    Indicates the total count of times the referenced spouse has been married.
  • E. spouseRelationshipEnd
    Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b980c8448190b08c3a9a7e7f4e85 completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b741b0cc8190be001a16a81f6d9e completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7bd3d50819091e6f1d2ffe4c7ee completed March 1, 2026, 10:03 p.m.
Created at: March 1, 2026, 7:42 p.m.