Triple
T3018244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood (symphonic suite) |
E82389
|
entity |
| Predicate | hasArrangerBackground |
P45057
|
FINISHED |
| Object | film music arranging |
—
|
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: film music arranging | Statement: [Hollywood (symphonic suite), hasArrangerBackground, film music arranging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArrangerBackground Context triple: [Hollywood (symphonic suite), hasArrangerBackground, film music arranging]
-
A.
hasArranger
Indicates that one entity serves as the arranger (e.g., musically or structurally) for another entity, such as a work, performance, or composition.
-
B.
hasBackingVocals
Indicates that one musical performance, track, or part includes supporting vocal contributions accompanying a primary vocal line.
-
C.
backedArtist
Indicates that one entity has provided support, endorsement, or resources to an artist entity.
-
D.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
-
E.
hasBackingBand
Indicates that an artist or performer is supported musically by a specific band that plays instruments or accompaniment for them.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a90ea64819080620e60bbd6aa24 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 3 p.m.