Triple
T3685737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Napes |
E78220
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jimmy Napes |
E78220
|
NE FINISHED |
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: Jimmy Napes | Statement: [Jimmy Napes, name, Jimmy Napes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Napes Context triple: [Jimmy Napes, name, Jimmy Napes]
-
A.
Jimmy Napes
chosen
Jimmy Napes is a British songwriter and record producer best known for his collaborations with artists like Sam Smith and Disclosure on numerous award-winning pop and electronic hits.
-
B.
Max Drummey
Max Drummey is an American musician best known as the guitarist and co-founder of the indie pop band Chester French.
-
C.
Charlie Allnut
Charlie Allnut is the rough-edged but good-hearted Canadian boat captain from the classic film "The African Queen," known for his unlikely partnership and romance with a prim missionary during World War I.
-
D.
Jimmy Ba
Jimmy Ba is a prominent machine learning researcher known for his work on deep learning optimization methods such as the Adam optimizer.
-
E.
Pete Campbell
Pete Campbell is an ambitious and often morally conflicted advertising account executive in the television drama series "Mad Men."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c676748190b074abfb9ba43b49 |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3bd473c8190b814689f3c76cada |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.