Triple
T10915713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 636 |
E257816
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Brandt Bucher |
E253901
|
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: Brandt Bucher | Statement: [PEP 636, author, Brandt Bucher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandt Bucher Context triple: [PEP 636, author, Brandt Bucher]
-
A.
Brandt Bucher
chosen
Brandt Bucher is a Python core developer known for his work on language features such as structural pattern matching, including contributions to PEP 622.
-
B.
Ian Shelton
Ian Shelton is a Canadian astronomer best known for first identifying the supernova SN 1987A in the Large Magellanic Cloud.
-
C.
Jeff Rice
Jeff Rice is a film producer known for his work on various independent and genre movies, including crime thrillers.
-
D.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
-
E.
Bryan Warrick
Bryan Warrick is a former American professional basketball player who played as a guard in the NBA during the early 1980s.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77074c77c8190af91369eee11f1b7 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216eb77dc81908c380f5fcd507275 |
completed | April 17, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:22 p.m.