Triple

T5575412
Position Surface form Disambiguated ID Type / Status
Subject Elisa Godínez Gómez E146304 entity
Predicate roleDuringSpouseTerm P29717 FINISHED
Object official hostess of the Cuban presidential palace 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: official hostess of the Cuban presidential palace | Statement: [Elisa Godínez Gómez, roleDuringSpouseTerm, official hostess of the Cuban presidential palace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleDuringSpouseTerm
Context triple: [Elisa Godínez Gómez, roleDuringSpouseTerm, official hostess of the Cuban presidential palace]
  • A. spouseLaterOffice
    Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
  • B. spouseOffice
    Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
  • C. spousePositionHeldStartTime
    Indicates the date and time when a spouse first began holding a particular position or office.
  • D. roleDuringHusbandPresidency chosen
    Indicates the role or position a person held specifically during her husband's term as president.
  • E. spouseOfOfficeHolderJurisdiction
    Indicates that one person is the spouse of a public office holder, with the relationship specifically tied to the jurisdiction in which that office is held.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02067e8d8819090a006cb266da5fe completed March 22, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69c01b147cc081909237f3f2967d4cb8 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:37 p.m.