Triple
T23192167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can We Talk |
E579770
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Tevin Campbell |
—
|
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: Tevin Campbell | Statement: [Can We Talk, associatedAct, Tevin Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tevin Campbell Context triple: [Can We Talk, associatedAct, Tevin Campbell]
-
A.
Tevin Campbell
chosen
Tevin Campbell is an American R&B singer and former child prodigy best known for his early-1990s hits like "Can We Talk" and "I'm Ready."
-
B.
Kareem Campbell
Kareem Campbell is an American professional skateboarder known for his influential street skating style and signature tricks, including the "Ghetto Bird."
-
C.
Karriem Riggins
Karriem Riggins is an American jazz drummer and hip-hop producer known for his genre-blending work with artists such as Common, J Dilla, and Erykah Badu.
-
D.
Hakeem Campbell
Hakeem Campbell is a main supporting character on the sitcom "Moesha," known as Moesha's loyal, humorous best friend and neighbor.
-
E.
Cedric Yarbrough
Cedric Yarbrough is an American actor and comedian best known for his roles on the TV series "Reno 911!" and for voicing characters in animated shows such as "The Boondocks."
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd86640819092308751d23c6642 |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.