Triple
T15263624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitalik Buterin |
E364844
|
entity |
| Predicate | twitterHandle |
P2866
|
FINISHED |
| Object | @VitalikButerin |
E364844
|
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: @VitalikButerin | Statement: [Vitalik Buterin, twitterHandle, @VitalikButerin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @VitalikButerin Context triple: [Vitalik Buterin, twitterHandle, @VitalikButerin]
-
A.
Vitalik Buterin
chosen
Vitalik Buterin is a Russian-Canadian programmer and writer best known as the co-founder and chief visionary behind the Ethereum blockchain platform.
-
B.
Gavin Wood
Gavin Wood is a British computer scientist and co-founder of Ethereum who later created the Polkadot network and the Web3 Foundation.
-
C.
Craig Wright
Craig Wright is an Australian computer scientist and businessman best known for controversially claiming to be Bitcoin’s pseudonymous creator, Satoshi Nakamoto.
-
D.
Craig Wright
Craig Wright is a television writer and producer known for his work on series such as "Six Feet Under," "Lost," and "Greenleaf."
-
E.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fdc21881909d87062db6fb8fb7 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.