Triple

T14398337
Position Surface form Disambiguated ID Type / Status
Subject Dirty Sexy Money E357007 entity
Predicate creator P184 FINISHED
Object Craig Wright E777370 NE 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: Craig Wright | Statement: [Dirty Sexy Money, creator, Craig Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Wright
Context triple: [Dirty Sexy Money, creator, Craig Wright]
  • A. Craig Wright
    Craig Wright is an Australian computer scientist and businessman best known for controversially claiming to be Bitcoin’s pseudonymous creator, Satoshi Nakamoto.
  • B. Craig Wright chosen
    Craig Wright is a television writer and producer known for his work on series such as "Six Feet Under," "Lost," and "Greenleaf."
  • C. Gavin Finney
    Gavin Finney is a British cinematographer known for his work on feature films and television dramas, including the comedy sequel "St Trinian's 2: The Legend of Fritton's Gold."
  • D. Satoshi Nakamoto
    Satoshi Nakamoto is the pseudonymous individual or group who authored the Bitcoin white paper and launched the first decentralized cryptocurrency and its underlying blockchain technology.
  • E. Zooko Wilcox-O’Hearn
    Zooko Wilcox-O’Hearn is a computer scientist and cryptographer known for his work on decentralized systems, privacy technologies, and the development of secure digital currencies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551eb09c8190a102ab452371e5b1 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.