Triple
T35281510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T.O.N.T.O. |
E1018944
|
entity |
| Predicate | isMultitimbral |
P68598
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [T.O.N.T.O., isMultitimbral, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMultitimbral Context triple: [T.O.N.T.O., isMultitimbral, true]
-
A.
supportsMultiTimbralOperation
chosen
Indicates that an entity can operate in a multi-timbral mode, handling multiple distinct timbres or instrument parts simultaneously.
-
B.
supportsMIDI
Indicates that one entity provides compatibility with or the ability to use MIDI (Musical Instrument Digital Interface) functionality for another entity.
-
C.
isMonophonic
Indicates that something consists of a single melodic line or voice, without simultaneous independent melodic parts.
-
D.
hasMelodyInstrument
Indicates that something uses or features a particular instrument to carry the main melody.
-
E.
polyphonicChannels
Indicates that an entity supports or involves multiple independent audio or musical channels that can sound simultaneously (polyphony).
- 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78fdaeaf88190a6b24a96634ddfe1 |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.