Triple
T19401747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Back |
E485340
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Hal Finney |
—
|
NE NERFINISHED |
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: Hal Finney | Statement: [Adam Back, collaboratedWith, Hal Finney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Finney Context triple: [Adam Back, collaboratedWith, Hal Finney]
-
A.
Hal Finney
chosen
Hal Finney was a pioneering cryptographer and early Bitcoin developer who received the first Bitcoin transaction and made significant contributions to digital privacy and cryptocurrency.
-
B.
David Finfer
David Finfer was an American film editor known for his work on a wide range of Hollywood movies across several decades.
-
C.
David Wesley Finney
David Wesley Finney was a 19th-century American politician from Kansas after whom Finney County was named.
-
D.
Tim May
Tim May is an American session guitarist known for his work on numerous film soundtracks and recordings across jazz, pop, and rock genres.
-
E.
Richard Fee
Richard Fee is a British television producer best known for his work as an executive producer on contemporary drama and thriller series, including the Netflix mystery drama "The Stranger."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62577454c81909d5bcd07e99b27e4 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.