Triple
T33244818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cervenka |
E851066
|
entity |
| Predicate | bearerCollaboration |
P140236
|
FINISHED |
| Object | collaborations with John Doe (musician) |
—
|
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: collaborations with John Doe (musician) | Statement: [Cervenka, bearerCollaboration, collaborations with John Doe (musician)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerCollaboration Context triple: [Cervenka, bearerCollaboration, collaborations with John Doe (musician)]
-
A.
bearerNotableCollaboration
chosen
Indicates that the bearer is significantly associated with a noteworthy collaboration or joint work involving another entity.
-
B.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
C.
usesCollaboration
Indicates that one entity employs or relies on collaborative methods, tools, or partnerships with another entity to achieve a shared goal or perform an activity.
-
D.
collaborationAspect
Indicates a specific characteristic, dimension, or feature of how entities collaborate or work together.
-
E.
collaborativeWork
Indicates a relationship where two or more entities jointly contribute effort or resources toward a shared task, project, or goal.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 1:31 a.m.