Triple

T5152801
Position Surface form Disambiguated ID Type / Status
Subject Ellen Lewis Herndon Arthur E116235 entity
Predicate spouseOrdinalNumberAsPresident P62258 FINISHED
Object 21 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: 21 | Statement: [Ellen Lewis Herndon Arthur, spouseOrdinalNumberAsPresident, 21]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseOrdinalNumberAsPresident
Context triple: [Ellen Lewis Herndon Arthur, spouseOrdinalNumberAsPresident, 21]
  • A. marriedToUSPresident
    Indicates being legally married to an individual who holds or has held the office of President of the United States.
  • B. spouseOffice
    Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
  • C. spouseLaterOffice
    Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
  • D. spouseOfHeadOfState
    Indicates that one person is the spouse (married partner) of a head of state.
  • E. spouseOfHonouree
    Indicates that one person is the spouse (married partner) of the honouree.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c1354c81908176703b4853c1a4 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b0fbb88190851e2d7ae1bdcc09 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd79bf9b088190a556dc02f10204e4 completed March 20, 2026, 4:45 p.m.
Created at: March 20, 2026, 1:44 p.m.