Triple
T15927141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Shirley (Green Book character) |
E386231
|
entity |
| Predicate | musicalTraining |
P97738
|
FINISHED |
| Object | classical piano |
—
|
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: classical piano | Statement: [Don Shirley (Green Book character), musicalTraining, classical piano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalTraining Context triple: [Don Shirley (Green Book character), musicalTraining, classical piano]
-
A.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
-
B.
musicPractice
Indicates engaging in the activity of practicing or rehearsing music, typically to improve skill or prepare for performance.
-
C.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
D.
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.
-
E.
learnedInstrument
chosen
Indicates that an entity has acquired the skill or ability to play a particular musical instrument.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.