Triple
T15417167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolaid |
E369270
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | KJ Conteh |
E369270
|
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: KJ Conteh | Statement: [Coolaid, producer, KJ Conteh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KJ Conteh Context triple: [Coolaid, producer, KJ Conteh]
-
A.
KJ Conteh
chosen
KJ Conteh is a music producer known for his work on Snoop Dogg’s album "Coolaid."
-
B.
Kwame Boateng
Kwame Boateng is a personal name that may refer to multiple individuals, often of Ghanaian origin, across various fields such as sports, arts, or public life.
-
C.
Asake Bomani
Asake Bomani is an American writer and former jazz singer best known as the ex-wife of actor and activist Danny Glover.
-
D.
Daniel Eghan
Daniel Eghan is a British actor and background performer known for appearing in various film and television productions, including the Doctor Who mini-episode "The Night of the Doctor."
-
E.
Adam Afriyie
Adam Afriyie is a British Conservative Party politician and businessman who has served as the Member of Parliament for Windsor since 2005.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.