Triple
T3885729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cîroc |
E92935
|
entity |
| Predicate | gainedProminenceThrough |
P43479
|
FINISHED |
| Object | marketing partnership with Sean Combs |
—
|
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: marketing partnership with Sean Combs | Statement: [Cîroc, gainedProminenceThrough, marketing partnership with Sean Combs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedProminenceThrough Context triple: [Cîroc, gainedProminenceThrough, marketing partnership with Sean Combs]
-
A.
wasProminentIn
Indicates that an entity was notably active, influential, or widely recognized within a particular field, context, or time period.
-
B.
isMostProminentIn
Indicates that an entity stands out as the most notable, influential, or dominant among comparable entities within a specified context or domain.
-
C.
claimToFame
chosen
Indicates the notable achievement, characteristic, or association for which an entity is best known.
-
D.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
E.
roseToProminenceIn
Indicates the time or context in which an entity became widely recognized, influential, or notable.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec942bfc8190a398fe370715a28b |
completed | March 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.