Triple
T22165024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabbath Bloody Sabbath |
E547767
|
entity |
| Predicate | engineer |
P184
|
FINISHED |
| Object | Mike Butcher |
—
|
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: Mike Butcher | Statement: [Sabbath Bloody Sabbath, engineer, Mike Butcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Butcher Context triple: [Sabbath Bloody Sabbath, engineer, Mike Butcher]
-
A.
Mike Butcher
chosen
Mike Butcher is a British record producer and engineer best known for his work with heavy metal band Black Sabbath in the 1970s.
-
B.
Steve Butters
Steve Butters is a writer and creative contributor known for his work on the speculative fiction project "Upgrade & Afterlife."
-
C.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
-
D.
Stephen Butchard
Stephen Butchard is a British television writer and screenwriter known for his work on acclaimed dramas and literary adaptations.
-
E.
Eric Crozier
Eric Crozier was a British theatrical director, producer, and writer best known for his close collaboration with composer Benjamin Britten on several operas.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a309d8081908f4540fe2da63010 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.