Triple
T20148356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les McCann |
E491368
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Les McCann |
—
|
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: Les McCann | Statement: [Les McCann, name, Les McCann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les McCann Context triple: [Les McCann, name, Les McCann]
-
A.
Les McCann
chosen
Les McCann is an American jazz pianist and vocalist known for his soulful, groove-oriented style and influential work in soul jazz and jazz fusion.
-
B.
Sean McCann
Sean McCann was a Canadian character actor known for his extensive work in film, television, and theatre from the 1960s onward.
-
C.
Christian Corry
Christian Corry is an American former U.S. Marine Corps helicopter pilot best known as the husband of legendary soccer player Mia Hamm.
-
D.
Robin McAuley
Robin McAuley is an Irish rock singer best known for his work with the McAuley Schenker Group and as a longtime vocalist in various hard rock and metal projects.
-
E.
Jimmy Yuill
Jimmy Yuill is a Scottish actor known for his work in film, television, and theatre, including roles in several Shakespearean adaptations.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0075c8190a5c4de53a0caa7f6 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.