Triple

T30458258
Position Surface form Disambiguated ID Type / Status
Subject Craig Wright E774922 entity
Predicate controversialClaim P1783 FINISHED
Object authorship of the Bitcoin white paper 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: authorship of the Bitcoin white paper | Statement: [Craig Wright, controversialClaim, authorship of the Bitcoin white paper]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controversialClaim
Context triple: [Craig Wright, controversialClaim, authorship of the Bitcoin white paper]
  • A. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • B. controversy chosen
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • C. controversialStatus
    Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
  • D. controversyType
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • E. hasControversialAspect
    Indicates that something includes an element, feature, or aspect that is disputed, debated, or likely to cause disagreement or public criticism.
  • 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_69f22494fb60819095d893de0284f886 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd5bf69acc819092a01e4259785dc3 completed May 8, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69fd59b3f4ac8190a7f9dd3142da6e09 completed May 8, 2026, 3:34 a.m.
Created at: April 29, 2026, 8:10 p.m.