Triple
T7980393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Git |
E185555
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Scott Chacon |
E35581
|
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: Scott Chacon | Statement: [Pro Git, author, Scott Chacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Chacon Context triple: [Pro Git, author, Scott Chacon]
-
A.
Scott Chacon
chosen
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.
-
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.
Tom Preston-Werner
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.
-
D.
Charles Nutter
Charles Nutter is a software engineer best known as a co-creator and lead developer of JRuby, the Ruby implementation on the Java Virtual Machine.
-
E.
Alex Heineman
Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c274ce48190854d389d43ce14b8 |
completed | March 31, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0d3c724819087df03cea2ed998f |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.