Triple
T12530922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Between the Devil and the Deep Blue Sea |
E299559
|
entity |
| Predicate | hasNotableInstrumentalInterpretations |
P89125
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Between the Devil and the Deep Blue Sea, hasNotableInstrumentalInterpretations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableInstrumentalInterpretations Context triple: [Between the Devil and the Deep Blue Sea, hasNotableInstrumentalInterpretations, yes]
-
A.
hasNoInstrumentalAccompaniment
Indicates that an action or event occurs without any instrumental musical accompaniment.
-
B.
isInstrumental
Indicates that one entity serves as the means, tool, or instrument by which another entity performs an action or achieves an outcome.
-
C.
hasMainInstrumentalElements
Indicates that one entity includes or is characterized by the primary instrumental components or parts of another entity.
-
D.
isInstrumentalVersionAvailable
chosen
Indicates whether an instrumental-only version of a given work is available.
-
E.
hasNotableMusicWork
Indicates that an entity is associated with a significant or well-known musical work, such as a composition, recording, or performance.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.