Triple
T18290207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby on Baby |
E438090
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | OG Parker |
—
|
NE NERFINISHED |
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: OG Parker | Statement: [Baby on Baby, producer, OG Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OG Parker Context triple: [Baby on Baby, producer, OG Parker]
-
A.
OG Parker
chosen
OG Parker is an American record producer and songwriter known for crafting melodic, trap-influenced beats for prominent hip-hop and R&B artists.
-
B.
Jeff Parker
Jeff Parker is an American jazz and experimental rock guitarist and composer best known for his work with the post-rock band Tortoise and numerous genre-blending projects.
-
C.
Steve Parker
Steve Parker was an American film producer and manager best known for his long marriage to actress Shirley MacLaine and his work on international film projects.
-
D.
Q Parker
Q Parker is an American R&B singer best known as a member of the group 112, with whom he achieved major success in the late 1990s and early 2000s.
-
E.
Brad Parker
Brad Parker is a screenwriter known for collaborating with Carey Van Dyke on film and television projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.