Triple
T23946069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harpsichord |
E602916
|
entity |
| Predicate | hasTimbre |
P152736
|
FINISHED |
| Object | Bright |
—
|
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: Bright | Statement: [Harpsichord, hasTimbre, Bright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimbre Context triple: [Harpsichord, hasTimbre, Bright]
-
A.
hasTimbrality
chosen
Indicates a relationship where one entity possesses or exhibits a particular quality or character of timbre (tone color or sound quality).
-
B.
typicalTimbre
Indicates that an entity has the characteristic or standard sound quality (timbre) that is typical or expected for its kind.
-
C.
timbrality
Indicates the relationship between sounds or musical elements in terms of their tone color or quality, distinguishing how they differ or interact based on timbre.
-
D.
hasPitch
Indicates that one entity possesses or is characterized by a specific pitch (such as a tonal, acoustic, or frequency-related property).
-
E.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02dd0cc8190b32eb86bdfe0bf9a |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:13 p.m.