Triple
T1645947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Chacon |
E35581
|
entity |
| Predicate | authored |
P80
|
FINISHED |
| Object | Pro Git |
E185555
|
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: Pro Git | Statement: [Scott Chacon, authored, Pro Git]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pro Git Context triple: [Scott Chacon, authored, Pro Git]
-
A.
Pro Git
chosen
Pro Git is a comprehensive, freely available book that serves as a widely used guide to the Git version control system for developers of all levels.
-
B.
Git
Git is a widely used distributed version control system designed to efficiently track changes in source code and support collaborative software development.
-
C.
Subversion
Subversion is a centralized version control system used to manage and track changes to source code and other files in software development projects.
-
D.
GitHub
GitHub is a widely used web-based platform for version control and collaborative software development, built around the Git system and popular among open-source and enterprise projects.
-
E.
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.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a41e5a08190b97dd1c0b12c662a |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6818c8288190af5307384f1c8080 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:28 p.m.