Triple
T5163900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MixBit |
E116501
|
entity |
| Predicate | hasCollaborationModel |
P1854
|
FINISHED |
| Object | multiple users contributing clips to one video |
—
|
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: multiple users contributing clips to one video | Statement: [MixBit, hasCollaborationModel, multiple users contributing clips to one video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollaborationModel Context triple: [MixBit, hasCollaborationModel, multiple users contributing clips to one video]
-
A.
collaborationModel
chosen
Indicates the type or structure of cooperative interaction or joint work established between entities.
-
B.
isCollaboration
Indicates that two or more entities are jointly working together toward a shared goal or producing something in partnership.
-
C.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
D.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
E.
hasCooperative
Indicates that one entity participates in a cooperative relationship or partnership with another entity.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792936d48190825da8826448c1da |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.