Triple
T8562364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMUSE |
E202718
|
entity |
| Predicate | controlGranularity |
P83651
|
FINISHED |
| Object | phrase-level music control |
—
|
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: phrase-level music control | Statement: [iMUSE, controlGranularity, phrase-level music control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlGranularity Context triple: [iMUSE, controlGranularity, phrase-level music control]
-
A.
reservationGranularity
Indicates the level of detail or unit (such as time, quantity, or capacity) at which a reservation can be specified or managed.
-
B.
securityGranularity
Indicates the level of detail or specificity at which security controls, permissions, or protections are defined and applied within a system or context.
-
C.
encryptionGranularity
Indicates the level of detail or scope at which data is encrypted within a system or process.
-
D.
pricingGranularity
Indicates the level of detail or resolution at which prices are defined, grouped, or applied within a pricing structure or model.
-
E.
timeTravelGranularity
Indicates the level of temporal precision or resolution at which time travel or time-based operations can occur between entities.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe94c0c3c8190aca981c07b090dc0 |
completed | March 31, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30e37ac8190b685df36274602b5 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:20 p.m.