Triple
T34334712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdelazer, or The Moor's Revenge |
E881112
|
entity |
| Predicate | hasMusicAdaptedBy |
P69369
|
FINISHED |
| Object | Benjamin Britten |
—
|
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: Benjamin Britten | Statement: [Abdelazer, or The Moor's Revenge, hasMusicAdaptedBy, Benjamin Britten]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicAdaptedBy Context triple: [Abdelazer, or The Moor's Revenge, hasMusicAdaptedBy, Benjamin Britten]
-
A.
hasMusicAdaptationFrom
Indicates that one work has been adapted into a musical or music-focused version derived from another work.
-
B.
musicAdaptedBy
chosen
Indicates that a piece of music has been modified, arranged, or reworked by a particular person or entity from an existing original.
-
C.
hasAdaptedGenre
Indicates that one work has been adapted into another work belonging to a different or specific genre.
-
D.
hasAdaptationsIn
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
E.
isAdaptationOfFilmMusic
Indicates that one work is an adaptation or reworking derived from the music of a specific film.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: May 1, 2026, 1:58 a.m.