Triple

T13605319
Position Surface form Disambiguated ID Type / Status
Subject His Accidency E325046 entity
Predicate appliedToOfficeHolder P6552 FINISHED
Object 10th 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: 10th president of the United States | Statement: [His Accidency, appliedToOfficeHolder, 10th president of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedToOfficeHolder
Context triple: [His Accidency, appliedToOfficeHolder, 10th president of the United States]
  • A. appliesToOfficeholder chosen
    Indicates that something (such as a rule, benefit, restriction, or obligation) is applicable specifically to a person holding a particular office or official position.
  • B. refersToOfficeHolder
    Indicates that one entity is being used to denote, mention, or point specifically to a person who holds a particular office or official position.
  • C. usedByOfficeHolder
    Indicates that an item, resource, or entity is utilized or employed by a person holding an official position or office.
  • D. givenByOfficeHolder
    Indicates that something (such as an award, decision, or document) is conferred or issued by a person acting in their capacity as an office holder.
  • E. involvesOfficeHolder
    Indicates that the relationship or action includes or pertains to a person currently holding a specific office or official position.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.