Triple
T13601217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy |
E324945
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Danger Mouse |
E130343
|
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: Danger Mouse | Statement: [Crazy, producer, Danger Mouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danger Mouse Context triple: [Crazy, producer, Danger Mouse]
-
A.
Danger Mouse
chosen
Danger Mouse is an American musician and record producer known for his innovative, genre-blending work with artists across rock, hip hop, and pop.
-
B.
Danger Mouse
Danger Mouse is a British animated television series featuring a suave, eye-patch-wearing secret agent mouse who parodies the spy genre.
-
C.
Mr. Fingers
Mr. Fingers is the influential house music alias of Chicago producer Larry Heard, renowned for pioneering deep house with tracks like "Can You Feel It."
-
D.
Armand Van Helden
Armand Van Helden is an American DJ, producer, and remixer known as a leading figure in house music since the 1990s, with hits like "You Don't Know Me" and "My My My."
-
E.
Darkchild
Darkchild is the professional moniker of Rodney Jerkins, a Grammy-winning American record producer and songwriter known for his influential work in R&B and pop music.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942c7f948190a62a8d2f69262ef3 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:49 p.m.