Triple
T4246287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5.0 |
E95535
|
entity |
| Predicate | hasCollaborationsWith |
P38701
|
FINISHED |
| Object | country 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: country artists | Statement: [5.0, hasCollaborationsWith, country artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollaborationsWith Context triple: [5.0, hasCollaborationsWith, country artists]
-
A.
notableCollaboration
Indicates a significant joint effort or partnership between entities that produced a noteworthy shared outcome or work.
-
B.
collaborationOf
chosen
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
C.
coDirectedWith
Indicates that two or more entities jointly directed the same work or project.
-
D.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
E.
partnerInArtisticCollaboration
Indicates that two or more entities are engaged together as partners in a shared artistic collaboration or creative project.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9b64ac81908dc44eaae6829b50 |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.