Triple
T1621106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Wanstrath |
E35032
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chris Wanstrath |
E35032
|
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: Chris Wanstrath | Statement: [Chris Wanstrath, name, Chris Wanstrath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Wanstrath Context triple: [Chris Wanstrath, name, Chris Wanstrath]
-
A.
Chris Wanstrath
chosen
Chris Wanstrath is an American software developer and entrepreneur best known as a co-founder and former CEO of the code-hosting platform GitHub.
-
B.
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.
-
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.
Andy Ernst
Andy Ernst is a music producer best known for his work on early punk rock and alternative albums, including Green Day’s breakthrough record "Kerplunk."
-
E.
Michael Hillegas
Michael Hillegas was an American merchant and statesman who served as the first Treasurer of the United States during the Revolutionary era.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909b1fc788190b38c0aa4ccc2e953 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58c9ed4c8190a546ec4977f60695 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:28 p.m.