Triple
T31878974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Christmas Gift for You from Philles Records |
E813823
|
entity |
| Predicate | showcasesProductionStyle |
P56743
|
FINISHED |
| Object | Wall of Sound |
—
|
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: Wall of Sound | Statement: [A Christmas Gift for You from Philles Records, showcasesProductionStyle, Wall of Sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showcasesProductionStyle Context triple: [A Christmas Gift for You from Philles Records, showcasesProductionStyle, Wall of Sound]
-
A.
usesProductionStyle
chosen
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
B.
featuresAggressiveProductionStyle
Indicates that the subject’s production is characterized by intense, forceful, or hard-hitting stylistic choices.
-
C.
productionDesignStyle
Indicates the visual and aesthetic approach used in designing the overall look and environment of a production.
-
D.
productStyle
Indicates the stylistic category or design theme that characterizes a product.
-
E.
bodyStyleProduced
Indicates that a particular body style was manufactured or produced by a given entity (such as a company, plant, or production line).
- 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:56 p.m.