Triple
T5160514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Low |
E116423
|
entity |
| Predicate | featuresInRemix |
P9639
|
FINISHED |
| Object | Pitbull |
E210396
|
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: Pitbull | Statement: [How Low, featuresInRemix, Pitbull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pitbull Context triple: [How Low, featuresInRemix, Pitbull]
-
A.
Pitbull
chosen
Pitbull is an American rapper, singer, and songwriter known for his high-energy party anthems and numerous international pop and Latin music collaborations.
-
B.
Xzibit
Xzibit is an American rapper, actor, and television host best known for fronting the MTV car-customization show "Pimp My Ride."
-
C.
Bow Wow
Bow Wow is an American rapper and actor who rose to fame as a child star in the early 2000s with hit singles and roles in films like "Like Mike."
-
D.
Petey Pablo
Petey Pablo is an American rapper from North Carolina best known for early-2000s hits like "Raise Up" and "Freek-a-Leek."
-
E.
Tyga
Tyga is an American rapper and songwriter known for hits like "Rack City" and his association with the Young Money Entertainment label.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd846dfb908190827fbee5a5ae55e2 |
completed | March 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed92b3ab48190900cf5c246dba433 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.