Triple

T16364499
Position Surface form Disambiguated ID Type / Status
Subject Deidre Pujols E397398 entity
Predicate spouseOfFormer P123121 FINISHED
Object Major League Baseball player 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: Major League Baseball player | Statement: [Deidre Pujols, spouseOfFormer, Major League Baseball player]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseOfFormer
Context triple: [Deidre Pujols, spouseOfFormer, Major League Baseball player]
  • A. marriedToAFormerFirstLadyOfTheUnitedStates
    Indicates that a person is or was married to someone who previously held the role of First Lady of the United States.
  • B. formerFiancéeOf
    Indicates that one person was previously engaged to be married to another person, but the engagement has since ended.
  • C. spouseOfCountry
    Indicates that an entity is the spouse or marital partner of a person who is associated with, represents, or is from a specified country.
  • D. sometimesSpouseOf
    Indicates that two entities are occasionally, but not consistently or permanently, in a spousal relationship with each other.
  • E. marriedToDuringOffice
    Indicates that one person was married to another person specifically during the time they held a particular office or position.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3bb5e481909669164a37d76b19 completed April 18, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69e226f37ecc819082af58b29b4e39d1 completed April 17, 2026, 12:26 p.m.
PDg Predicate description generation batch_69e24555bb6c8190977cf5c5f9149056 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:08 a.m.