Triple
T23826733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Ever Get Around to Living |
E589395
|
entity |
| Predicate | hasProducerRoleFor |
P49052
|
FINISHED |
| Object | John Mayer |
—
|
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: John Mayer | Statement: [If I Ever Get Around to Living, hasProducerRoleFor, John Mayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProducerRoleFor Context triple: [If I Ever Get Around to Living, hasProducerRoleFor, John Mayer]
-
A.
hasProductionRole
Indicates that an entity holds a specific role or function in the production or creation process of another entity.
-
B.
hasProducer
Indicates that one entity serves as the producer or creator responsible for making or manufacturing another entity.
-
C.
producesRole
Indicates that one entity generates, creates, or gives rise to a particular role associated with another entity.
-
D.
producerRole
chosen
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
-
E.
producedRole
Indicates that one entity was responsible for creating, originating, or bringing about a particular role associated 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f23ed08190bc2b86ccb2b81611 |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8 p.m.