Triple

T31695680
Position Surface form Disambiguated ID Type / Status
Subject Republican Party presidential nomination in 1920 E808910 entity
Predicate darkHorseCandidate P131186 FINISHED
Object Warren G. Harding NE NERFINISHED

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: Warren G. Harding | Statement: [Republican Party presidential nomination in 1920, darkHorseCandidate, Warren G. Harding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: darkHorseCandidate
Context triple: [Republican Party presidential nomination in 1920, darkHorseCandidate, Warren G. Harding]
  • A. darkHorseNominee chosen
    Indicates an entity is an unexpected or lesser-known candidate that nonetheless has a realistic chance of success in a selection or competition.
  • B. candidateFor
    Indicates that one entity is being considered or proposed as a possible choice, option, or selection for another entity (such as a role, position, or outcome).
  • C. capitalCandidate
    Indicates that an entity is being considered or proposed as the capital of a given region or political unit.
  • D. targetCandidate
    Indicates that an entity is being considered or designated as a potential target for selection, action, or further evaluation.
  • E. protagonistHorse
    Indicates that the subject is the main or central horse character in a narrative or story.
  • 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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaf50be08190a2b62a6d881f8aee completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:10 p.m.