Triple
T29790523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compass Point All Stars |
E756389
|
entity |
| Predicate | producerCollaborator |
P113700
|
FINISHED |
| Object | Chris Blackwell |
—
|
NE NERFINISHED |
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: Chris Blackwell | Statement: [Compass Point All Stars, producerCollaborator, Chris Blackwell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producerCollaborator Context triple: [Compass Point All Stars, producerCollaborator, Chris Blackwell]
-
A.
musicalCollaborator
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
B.
producerOftenWorkedWith
chosen
Indicates that a producer frequently collaborated or worked together with a particular entity (such as an artist, director, or production team) on multiple projects.
-
C.
producerCountryOfCollaborators
Indicates the country where the producers associated with the collaborators are based or originate.
-
D.
producerDuoMember
Indicates that one entity is a member of a producer duo that is represented by the other entity.
-
E.
partnerInProductionCompanyWith
Indicates that two entities are business partners together in operating or owning the same production company.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 29, 2026, 5:12 p.m.