Triple
T32276814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philles Records |
E824571
|
entity |
| Predicate | associatedProductionStyle |
P56743
|
FINISHED |
| Object | Wall of Sound |
E813821
|
NE 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: Wall of Sound | Statement: [Philles Records, associatedProductionStyle, Wall of Sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedProductionStyle Context triple: [Philles Records, associatedProductionStyle, Wall of Sound]
-
A.
usesProductionStyle
chosen
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
B.
associatedProduction
Indicates that there is a related or connected production (such as a work, performance, or manufacturing process) linked to the subject entity.
-
C.
productionDesignStyle
Indicates the visual and aesthetic approach used in designing the overall look and environment of a production.
-
D.
inTheStyleOf
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
-
E.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
- F. None of above.
Provenance (4 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f46e583dc8190be311b497dd0df04 |
completed | June 15, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:43 a.m.