Triple
T4418680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jermaine Paul |
E95041
|
entity |
| Predicate | wonPrize |
P14849
|
FINISHED |
| Object | recording contract for winning The Voice season 2 |
—
|
LITERAL 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: recording contract for winning The Voice season 2 | Statement: [Jermaine Paul, wonPrize, recording contract for winning The Voice season 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonPrize Context triple: [Jermaine Paul, wonPrize, recording contract for winning The Voice season 2]
-
A.
winnerReceives
chosen
Indicates that the entity identified as the winner is granted or awarded the specified item, benefit, or outcome as a result of winning.
-
B.
winnerMake
Indicates that one entity causes or brings about another entity becoming the winner in a contest, competition, or selection process.
-
C.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
-
D.
wonTitleFrom
Indicates that one entity obtained a title or championship by defeating or surpassing another specific entity who previously held it.
-
E.
wonTitleWith
Indicates that an entity secured a specific title, award, or championship while being associated with or representing another entity (such as a team, organization, or group).
- F. None of above.
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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551e7c6c819090fa5dfb5ac58e4c |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.