Triple
T13495083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C9 |
E320733
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Mike Dece |
E1043771
|
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: Mike Dece | Statement: [C9, associatedAct, Mike Dece]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Dece Context triple: [C9, associatedAct, Mike Dece]
-
A.
Mike Dece
chosen
Mike Dece is an American rapper and producer known for his dark, atmospheric trap music and association with the underground hip-hop collective Raider Klan.
-
B.
Mike Dean
Mike Dean is an American record producer, audio engineer, and multi-instrumentalist known for his influential work with artists like Kanye West, Travis Scott, and many others in hip-hop and popular music.
-
C.
Michael Devin
Michael Devin is an American rock bassist best known for his work with the hard rock band Whitesnake.
-
D.
Jay Deuby
Jay Deuby is a film editor known for his work on the independent horror-comedy movie "Baghead."
-
E.
Michael Petulla
Michael Petulla is a musician best known as a member of the English indie folk band Noah and the Whale.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75485af6c8190a43ccab5449f5014 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.