Triple
T17522216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 503 |
E426701
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Brett Cannon |
—
|
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: Brett Cannon | Statement: [PEP 503, createdBy, Brett Cannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brett Cannon Context triple: [PEP 503, createdBy, Brett Cannon]
-
A.
Brett Cannon
chosen
Brett Cannon is a prominent Python core developer and software engineer known for his leadership in Python’s development and governance.
-
B.
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
C.
Kent McCord
Kent McCord is an American actor best known for his role as Officer Jim Reed on the television series "Adam-12."
-
D.
Nathan Parsons
Nathan Parsons is an Australian-born American actor best known for his roles on television series such as "General Hospital," "The Originals," and "Roswell, New Mexico."
-
E.
Trevor Veitch
Trevor Veitch is a Canadian guitarist, songwriter, and record producer known for his session work and production contributions to pop and rock recordings.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.