Triple

T3191548
Position Surface form Disambiguated ID Type / Status
Subject Adlai Stevenson II E66833 entity
Predicate unsuccessfulCandidateForOffice P41562 FINISHED
Object 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: President of the United States | Statement: [Adlai Stevenson II, unsuccessfulCandidateForOffice, President of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: unsuccessfulCandidateForOffice
Context triple: [Adlai Stevenson II, unsuccessfulCandidateForOffice, President of the United States]
  • A. losingRunningMate
    Indicates that one entity is the running mate who was on the losing side in an electoral contest involving another entity.
  • B. nominatedForOffice
    Indicates that an entity has been formally put forward as a candidate to hold a particular office or position.
  • C. defeatedCandidate
    Indicates that one candidate has won an election or contest against another candidate, causing the other to lose.
  • D. losesElectionFor chosen
    Indicates that one candidate is defeated by another candidate in a specific election for a particular office or position.
  • E. couldElect
    Indicates that one entity has the potential or ability, under certain conditions or rules, to choose another entity for an office, role, or position through an election.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e8e4b48190bc7c6443fc6da900 completed March 8, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69ad9e04290481909092ddfbe6fdaabc completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.