Triple
T13745133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asher Roth |
E330191
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | B.o.B |
E114640
|
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: B.o.B | Statement: [Asher Roth, associatedAct, B.o.B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B.o.B Context triple: [Asher Roth, associatedAct, B.o.B]
-
A.
B.o.B
chosen
B.o.B is an American rapper, singer, songwriter, and record producer known for hits like "Nothin' on You," "Airplanes," and "Magic."
-
B.
B.O.B
B.O.B is a high-energy, politically charged hip-hop track by Outkast known for its rapid-fire delivery, genre-blending production, and critical acclaim.
-
C.
B.O.B.
B.O.B. is a goofy, indestructible blue gelatinous blob who provides much of the comic relief in the animated film "Monsters vs. Aliens."
-
D.
Jon Bellion
Jon Bellion is an American singer, songwriter, rapper, and producer known for his genre-blending pop and hip-hop sound and for writing and producing hits for both himself and other major artists.
-
E.
Aloe Blacc
Aloe Blacc is an American singer, songwriter, and musician best known for soulful hits like "I Need a Dollar" and his vocals on Avicii's "Wake Me Up."
- 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.