Triple

T7899108
Position Surface form Disambiguated ID Type / Status
Subject Gavin Andresen E183403 entity
Predicate hasNotableAssociationWith P1481 FINISHED
Object Bitcoin Foundation E696528 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: Bitcoin Foundation | Statement: [Gavin Andresen, hasNotableAssociationWith, Bitcoin Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitcoin Foundation
Context triple: [Gavin Andresen, hasNotableAssociationWith, Bitcoin Foundation]
  • A. Bitcoin Foundation chosen
    The Bitcoin Foundation is a nonprofit organization that was created to promote, standardize, and protect the development and adoption of the Bitcoin cryptocurrency.
  • B. Bitcoin Core
    Bitcoin Core is the open-source software implementation that serves as the primary full node and wallet for the Bitcoin network, maintaining the blockchain and enforcing consensus rules.
  • C. Bitcoin
    Bitcoin is a decentralized digital cryptocurrency that operates without a central bank, enabling peer-to-peer transactions secured by blockchain technology.
  • D. Bitcoin Cash
    Bitcoin Cash is a decentralized cryptocurrency that forked from Bitcoin to offer faster, cheaper peer-to-peer payments through larger block sizes.
  • E. BitC
    BitC is a systems programming language designed for safety, low-level control, and formal verification, drawing on ideas from Modula-3 and capability-based security.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a2ae5048190a6824d34b582c366 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfd2dbbc8190b7b1e45b7f0b7515 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:01 p.m.