Triple

T6997319
Position Surface form Disambiguated ID Type / Status
Subject Anna Tuthill Symmes Harrison E162247 entity
Predicate spouseOrdinalNumber P62258 FINISHED
Object 9th President of the United States 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: 9th President of the United States | Statement: [Anna Tuthill Symmes Harrison, spouseOrdinalNumber, 9th President of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseOrdinalNumber
Context triple: [Anna Tuthill Symmes Harrison, spouseOrdinalNumber, 9th President of the United States]
  • A. spouseOrdinalNumberAsPresident chosen
    Indicates the numerical order in which a person’s spouse served as president (e.g., first, second, third).
  • B. spouseOrder
    Indicates the position or sequence of a person among multiple spouses in a marital relationship.
  • C. spouse name
    Indicates that one entity is the legally recognized husband or wife of the other, specifying the partner’s name in a marital relationship.
  • D. spouseOfHead
    Indicates that one person is the married partner of the individual who holds the position of head (e.g., head of a household, organization, or state).
  • E. spouseGivenName
    Indicates that the value is the given (first) name of a person's spouse in the relationship.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeef57881909245c8a5374a8111 completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c4a18881908d267137daed828b completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:33 p.m.