Triple
T20274605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kids Design Glass |
E502977
|
entity |
| Predicate | collaborativeBetween |
P75049
|
FINISHED |
| Object | children and professional artists |
—
|
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: children and professional artists | Statement: [Kids Design Glass, collaborativeBetween, children and professional artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collaborativeBetween Context triple: [Kids Design Glass, collaborativeBetween, children and professional artists]
-
A.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
B.
collaborativeWork
chosen
Indicates a relationship where two or more entities jointly contribute effort or resources toward a shared task, project, or goal.
-
C.
isCollaborative
Indicates that two or more entities work together jointly toward a shared goal or outcome.
-
D.
cooperationAmong
Indicates a relationship in which multiple entities work together collaboratively toward shared goals or mutual benefit.
-
E.
containsCollaboration
Indicates that one entity includes or involves a collaborative relationship or joint activity 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e30d4c8190a9e2d9efa0f741fc |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 10:32 a.m.