Triple
T5080642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomplamoose |
E114500
|
entity |
| Predicate | usesProductionTechnique |
P3047
|
FINISHED |
| Object | home studio recording |
—
|
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: home studio recording | Statement: [Pomplamoose, usesProductionTechnique, home studio recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesProductionTechnique Context triple: [Pomplamoose, usesProductionTechnique, home studio recording]
-
A.
hasProductionMethod
Indicates that one entity is produced, created, or manufactured using the method, process, or technique specified by another entity.
-
B.
usedByTechnique
Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
-
C.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
D.
usesProductionStyle
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
E.
usesMeasurementTechnique
Indicates that an entity performs, applies, or relies on a specified measurement technique to obtain quantitative or qualitative data.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f9d9848190919aad6cfe14f1cf |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.