Triple
T22005822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machine Head |
E543448
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object | Adam Duce |
—
|
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: Adam Duce | Statement: [Machine Head, formerMember, Adam Duce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Duce Context triple: [Machine Head, formerMember, Adam Duce]
-
A.
Adam Duce
chosen
Adam Duce is an American bassist best known as a founding member of the groove metal band Machine Head.
-
B.
Alan Dukes
Alan Dukes is an Irish economist and former politician who served as leader of the Fine Gael party and held several senior ministerial roles.
-
C.
Andy Rouse
Andy Rouse is a renowned British touring car racing driver best known for his multiple championship titles and success in European and British touring car competitions.
-
D.
Matthew York
Matthew York is the son of American actor Dick York, best known for his role as the original Darrin Stephens on the television series "Bewitched."
-
E.
Adam Gough
Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.