Triple
T9679132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fix You |
E234237
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Danton Supple |
E813297
|
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: Danton Supple | Statement: [Fix You, producer, Danton Supple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danton Supple Context triple: [Fix You, producer, Danton Supple]
-
A.
Danton Supple
chosen
Danton Supple is a British record producer best known for his work with Coldplay, including producing their acclaimed album "X&Y."
-
B.
Raymond Danton
Raymond Danton was an American actor and director best known for his tough-guy roles in film noir and crime dramas during the 1950s and 1960s.
-
C.
Guillaumin
Guillaumin is the surname of Armand Guillaumin, a French Impressionist painter known for his vibrant landscapes and use of color.
-
D.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
-
E.
William Sorel
William Sorel is a notable individual associated with the surname Sorel, recognized as a distinguished bearer of that name.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9c586c8190abc0ab1771bf6c5c |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190fd1ad48190980e7bc3245046dc |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.