Triple
T36132546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dragon Painter |
E1045060
|
entity |
| Predicate | musicForRestoration |
P196191
|
FINISHED |
| Object | Mark Izu |
—
|
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: Mark Izu | Statement: [The Dragon Painter, musicForRestoration, Mark Izu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicForRestoration Context triple: [The Dragon Painter, musicForRestoration, Mark Izu]
-
A.
musicUsed
Indicates that one entity makes use of or incorporates another entity as music, such as in a performance, production, or media context.
-
B.
musicHub
Indicates a relationship where one entity serves as a central source, platform, or focal point for music-related content, activities, or connections for another entity.
-
C.
musicElement
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
-
D.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
-
E.
musicDiscipline
Indicates a relationship where one entity is a specific field, branch, or discipline within the broader domain of music in which another entity is involved or categorized.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
| PDg | Predicate description generation | batch_69fe12a769c08190bc445d302d2e8f98 |
completed | May 8, 2026, 4:43 p.m. |
Created at: May 3, 2026, 4:08 p.m.