Triple
T37989721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulietta Guicciardi |
E947790
|
entity |
| Predicate | hasMusicalTraining |
P97738
|
FINISHED |
| Object | 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: piano | Statement: [Giulietta Guicciardi, hasMusicalTraining, piano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalTraining Context triple: [Giulietta Guicciardi, hasMusicalTraining, piano]
-
A.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
B.
hasMusicalInstrument
Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
-
C.
taughtInstrument
Indicates that one entity instructed or gave lessons to another entity in playing a particular musical instrument.
-
D.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
-
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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: May 3, 2026, 4:20 p.m.