Triple
T13205578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stax studio |
E314349
|
entity |
| Predicate | recordingCharacteristic |
P108507
|
FINISHED |
| Object | raw, punchy horn arrangements |
—
|
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: raw, punchy horn arrangements | Statement: [Stax studio, recordingCharacteristic, raw, punchy horn arrangements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingCharacteristic Context triple: [Stax studio, recordingCharacteristic, raw, punchy horn arrangements]
-
A.
recordCharacteristic
Indicates that an entity documents or stores a specific characteristic or attribute of another entity.
-
B.
recordingType
Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
-
C.
eraCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given historical or temporal era.
-
D.
recordingFor
Indicates that one entity serves as a recorded representation (such as audio, video, or data capture) created for, or documenting, another entity or event.
-
E.
playbackCharacteristic
Indicates the specific way in which something is played back, such as its playback behavior, quality, or technical properties during reproduction.
- F. None of above. chosen
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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9b0cf08190a1d71cc94139539d |
completed | April 10, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:17 p.m.