Triple
T24093738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quatuor pour la fin du temps |
E596857
|
entity |
| Predicate | scoredForInstrument |
P12878
|
FINISHED |
| Object | clarinet |
—
|
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: clarinet | Statement: [Quatuor pour la fin du temps, scoredForInstrument, clarinet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoredForInstrument Context triple: [Quatuor pour la fin du temps, scoredForInstrument, clarinet]
-
A.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
-
B.
isPartOfScoreBy
Indicates that something constitutes a component or segment within a larger score or musical composition.
-
C.
scoredBy
Indicates that a particular score, point, or result was achieved or obtained by a specific entity.
-
D.
scoredAsPartOf
Indicates that an entity achieved a score or rating specifically within the context of being part of a larger group, event, or composite activity.
-
E.
musicInstrumentation
chosen
Indicates the specific instruments or instrumental forces used to perform a piece of music.
- 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_69e288c548048190a5c1018da1166a21 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dd221ebc8190801fa6c08987c126 |
completed | April 29, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:57 p.m.