Triple

T31041606
Position Surface form Disambiguated ID Type / Status
Subject Ariel DuBois E791009 entity
Predicate similarAbilitiesTo P71422 FINISHED
Object Allison DuBois 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: Allison DuBois | Statement: [Ariel DuBois, similarAbilitiesTo, Allison DuBois]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: similarAbilitiesTo
Context triple: [Ariel DuBois, similarAbilitiesTo, Allison DuBois]
  • A. sharesCompetencesWith chosen
    Indicates that two entities possess and can apply the same or overlapping set of skills, abilities, or areas of expertise.
  • B. moreSimilarTo
    Indicates that one entity bears a greater degree of similarity to a second entity than to a third entity, according to some defined similarity measure.
  • C. benefitsSimilarTo
    Indicates that one entity provides advantages or positive effects that are comparable in nature or degree to those provided by another entity.
  • D. believedToHaveAbility
    Indicates that one entity is thought or assumed to possess a particular capability or power, without asserting that the ability is actually verified.
  • E. roleSimilarTo
    Indicates that two entities have roles or functions that are alike or closely comparable in nature or responsibility.
  • 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_69f224ca2fa881908a3ac5fedf207b90 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f694fa62308190aa7ca49724a6cb06 completed May 3, 2026, 12:21 a.m.
PD Predicate disambiguation batch_69f690f13d7481908ddfefe95df2a1c2 completed May 3, 2026, 12:04 a.m.
Created at: April 29, 2026, 8:59 p.m.