Triple
T20541056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel Glockler |
E504333
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nigel Glockler |
—
|
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: Nigel Glockler | Statement: [Nigel Glockler, name, Nigel Glockler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigel Glockler Context triple: [Nigel Glockler, name, Nigel Glockler]
-
A.
Nigel Glockler
chosen
Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
-
B.
Dennis Schuetz
Dennis Schuetz was an American writer who, together with Michael McDowell, published mystery novels under the joint pseudonym Nathan Aldyne.
-
C.
Dennis Virkler
Dennis Virkler was an American film editor known for his work on numerous Hollywood features, including major comedies and action films.
-
D.
Peter Gaulke
Peter Gaulke is an American comedy writer, producer, and actor known for his work on films such as "Drunk Parents" and "Strange Wilderness."
-
E.
George Stelzner
George Stelzner is a television producer best known for serving as an executive producer on the biographical miniseries "Fosse/Verdon."
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29224f081908298d104161c5bb9 |
completed | April 20, 2026, 10:02 p.m. |
Created at: April 16, 2026, 11:37 a.m.