Triple
T17557516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOML |
E427624
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Tom Preston-Werner |
—
|
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: Tom Preston-Werner | Statement: [TOML, designedBy, Tom Preston-Werner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Preston-Werner Context triple: [TOML, designedBy, Tom Preston-Werner]
-
A.
Tom Preston-Werner
chosen
Tom Preston-Werner is an American software developer and entrepreneur best known as a co-founder and former CEO of the code-hosting platform GitHub.
-
B.
Chris Wanstrath
Chris Wanstrath is an American software developer and entrepreneur best known as a co-founder and former CEO of the code-hosting platform GitHub.
-
C.
Scott Chacon
Scott Chacon is a software developer and entrepreneur best known as a co-founder of GitHub and an influential author and speaker on Git and distributed version control.
-
D.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
-
E.
Craig Cegielski
Craig Cegielski is a television producer and executive known for his work on high-profile drama series, including serving as an executive producer on the historical fantasy show "Camelot."
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.