Triple

T15445488
Position Surface form Disambiguated ID Type / Status
Subject Gavin Wood E370011 entity
Predicate name P16 FINISHED
Object Gavin Wood E370011 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: Gavin Wood | Statement: [Gavin Wood, name, Gavin Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavin Wood
Context triple: [Gavin Wood, name, Gavin Wood]
  • A. Gavin Wood chosen
    Gavin Wood is a British computer scientist and co-founder of Ethereum who later created the Polkadot network and the Web3 Foundation.
  • B. Vitalik Buterin
    Vitalik Buterin is a Russian-Canadian programmer and writer best known as the co-founder and chief visionary behind the Ethereum blockchain platform.
  • C. Dmitry Buterin
    Dmitry Buterin is a Russian-Canadian entrepreneur and tech investor best known as the father of Ethereum co-founder Vitalik Buterin.
  • D. 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.
  • E. 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."
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef666e08190a02a01a676306ab9 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21adb6b88190b573068bda223892 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.