Triple

T36054176
Position Surface form Disambiguated ID Type / Status
Subject Sorting Hat E1042898 entity
Predicate canConsiderChoice P16233 FINISHED
Object true 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: true | Statement: [Sorting Hat, canConsiderChoice, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canConsiderChoice
Context triple: [Sorting Hat, canConsiderChoice, true]
  • A. couldConsider chosen
    Indicates that one entity has the potential or option to take another entity into account when making a decision, judgment, or evaluation.
  • B. canChoose
    Indicates that an entity has the ability or permission to select one option or entity from among alternatives.
  • C. alsoConsidered
    Indicates that one item is regarded as an alternative or additional option alongside another in a given context.
  • D. consideredIn
    Indicates that one entity is taken into account, examined, or included as a factor within the context, scope, or decision framework of another entity.
  • E. madeChoiceBetween
    Indicates that an entity selected one option from among two or more specified alternatives.
  • 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_69f76e2e41f8819091f9fb0536920fec completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b2c771108190adeec151daad5dab completed May 3, 2026, 8:40 p.m.
PD Predicate disambiguation batch_69f7b1bad2e88190963ab4ee5d4f2038 completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:08 p.m.