Triple
T33853735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danielle Breton |
E867707
|
entity |
| Predicate | hasScoreBy |
P192396
|
FINISHED |
| Object | Bernard Herrmann |
—
|
NE NERFINISHED |
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: Bernard Herrmann | Statement: [Danielle Breton, hasScoreBy, Bernard Herrmann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScoreBy Context triple: [Danielle Breton, hasScoreBy, Bernard Herrmann]
-
A.
hasScoreAvailable
Indicates that a score or rating for the relevant entity is present and can be accessed.
-
B.
hasScoreRecord
Indicates that an entity is associated with a specific score entry or scoring record.
-
C.
hasScoreCue
Indicates that one entity provides or is associated with a cue or signal used to determine, influence, or interpret the score of another entity.
-
D.
hasBackgroundScoreBy
Indicates that something (such as a scene, video, or media item) is accompanied by a background musical score created or provided by a specified entity.
-
E.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
- F. None of above. chosen
Provenance (4 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69fd098357348190a835c0b6d99857d2 |
completed | May 7, 2026, 9:52 p.m. |
Created at: May 1, 2026, 1:47 a.m.