Triple
T27950507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Key Wane |
E703409
|
entity |
| Predicate | collaborationTypeWith Big Sean |
P165107
|
FINISHED |
| Object | frequent collaborations with Big Sean |
—
|
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: frequent collaborations with Big Sean | Statement: [Key Wane, collaborationTypeWith Big Sean, frequent collaborations with Big Sean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collaborationTypeWith Big Sean Context triple: [Key Wane, collaborationTypeWith Big Sean, frequent collaborations with Big Sean]
-
A.
collaborationTypeWithOzuna
Indicates the specific nature or type of collaborative relationship an entity has with Ozuna.
-
B.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
C.
notableCollaboration
Indicates a significant joint effort or partnership between entities that produced a noteworthy shared outcome or work.
-
D.
hasNotableCollaborationType
Indicates a specific kind or category of significant collaborative relationship that exists between entities.
-
E.
collaborationAt
Indicates that two or more entities are working together or jointly engaged in an activity, project, or context at a specific place, organization, or event.
- F. None of above. chosen
Provenance (4 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 7:24 p.m.