Triple
T33294152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deodato |
E852393
|
entity |
| Predicate | arrangedWork |
P135847
|
FINISHED |
| Object | Also Sprach Zarathustra by Richard Strauss (jazz-fusion version) |
—
|
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: Also Sprach Zarathustra by Richard Strauss (jazz-fusion version) | Statement: [Deodato, arrangedWork, Also Sprach Zarathustra by Richard Strauss (jazz-fusion version)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrangedWork Context triple: [Deodato, arrangedWork, Also Sprach Zarathustra by Richard Strauss (jazz-fusion version)]
-
A.
arrangedWorkOf
chosen
Indicates that one entity organized, curated, or structured the work created by another entity.
-
B.
arranges
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
C.
commonlyArrangedFor
Indicates that one entity is typically organized, scheduled, or set up on behalf of another entity.
-
D.
appliedWork
Indicates that an entity has put effort, skill, or labor into performing or producing a particular work or task.
-
E.
coordinatesWorkOf
Indicates overseeing and organizing the tasks, efforts, or activities of others to ensure they work together effectively toward a common goal.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:33 a.m.