Triple
T21381749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Groucutt |
E527374
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Bev Bevan |
—
|
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: Bev Bevan | Statement: [Kelly Groucutt, workedWith, Bev Bevan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bev Bevan Context triple: [Kelly Groucutt, workedWith, Bev Bevan]
-
A.
Bev Bevan
chosen
Bev Bevan is an English rock drummer best known as a founding member of the Electric Light Orchestra and former member of The Move.
-
B.
Anthony Bevan
Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
-
C.
Donald Bevan
Donald Bevan was an American playwright best known for co-writing the World War II drama "Stalag 17," which was adapted into a successful Broadway play and film.
-
D.
Norman Bevan
Norman Bevan was a sports executive best known for owning the short-lived World Football League team, the San Antonio Wings, in the mid-1970s.
-
E.
Bill Bellamy
Bill Bellamy is an American stand-up comedian and actor known for his work on MTV in the 1990s and roles in films like "How to Be a Player" and "Love Jones."
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cf89f08190bd7c0d552232d948 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.