Triple
T13745201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.O.P. |
E330193
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Billy Danze |
E1057432
|
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: Billy Danze | Statement: [M.O.P., member, Billy Danze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Danze Context triple: [M.O.P., member, Billy Danze]
-
A.
Billy Danze
chosen
Billy Danze is an American rapper best known as one half of the influential New York hip hop duo M.O.P. (Mash Out Posse).
-
B.
Dick Stello
Dick Stello was a longtime Major League Baseball umpire who worked in both the National League and several World Series during his career.
-
C.
Danny Rocco
Danny Rocco is an American college football coach best known for leading multiple FCS programs, including successful tenures at Liberty, Richmond, and the University of Delaware.
-
D.
Tony Giglio
Tony Giglio is an American film director and screenwriter known for his work on action and genre films, including entries in the Doom and Death Race franchises.
-
E.
Peter Paul Fix
Peter Paul Fix, better known as Paul Fix, was an American character actor recognized for his numerous supporting roles in Western films and television from the 1930s through the 1960s.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a851f68c81908b24bc5275a58ad3 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.