Triple
T9110347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago 18 (producer) |
E218583
|
entity |
| Predicate | roleOfProducer |
P49052
|
FINISHED |
| Object | arranging songs |
—
|
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: arranging songs | Statement: [Chicago 18 (producer), roleOfProducer, arranging songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfProducer Context triple: [Chicago 18 (producer), roleOfProducer, arranging songs]
-
A.
producerRole
chosen
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
-
B.
producerOfWork
Indicates that one entity is the creator or originator responsible for producing a particular work.
-
C.
workedAsProducerFor
Indicates that one entity served in the role of producer for a work, project, or production associated with another entity.
-
D.
producedRole
Indicates that one entity was responsible for creating, originating, or bringing about a particular role associated with another entity.
-
E.
hasProductionRole
Indicates that an entity holds a specific role or function in the production or creation process of 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.