Triple
T29639768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Fisher |
E755825
|
entity |
| Predicate | hasNotableInstrumentalStyle |
P120599
|
FINISHED |
| Object | organ-led melodic lines |
—
|
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: organ-led melodic lines | Statement: [Matthew Fisher, hasNotableInstrumentalStyle, organ-led melodic lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableInstrumentalStyle Context triple: [Matthew Fisher, hasNotableInstrumentalStyle, organ-led melodic lines]
-
A.
notableInstrumentalStyle
chosen
Indicates that an entity is recognized for a distinctive or characteristic style in instrumental performance or composition.
-
B.
notableInstrumentalFeature
Indicates that an entity is distinguished by a specific instrumental characteristic or element that is particularly prominent or noteworthy.
-
C.
hasMainInstrumentalElements
Indicates that one entity includes or is characterized by the primary instrumental components or parts of another entity.
-
D.
hasInstrumentalPerformer
Indicates that an action, event, or work is performed or carried out by an entity serving as its instrumental performer.
-
E.
containsInstrumentalTrack
Indicates that one entity includes or features an instrumental music track as part of its content.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69ffde9263248190996f970b6cf6e49d |
completed | May 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69ffdd760f1c8190abc6c0c1cd97ba5f |
completed | May 10, 2026, 1:20 a.m. |
Created at: April 28, 2026, 6:46 p.m.