Triple
T35115066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher d'Amboise |
E1013409
|
entity |
| Predicate | hasProfessionalTrainingIn |
P96696
|
FINISHED |
| Object | classical ballet |
—
|
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 ballet | Statement: [Christopher d'Amboise, hasProfessionalTrainingIn, classical ballet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalTrainingIn Context triple: [Christopher d'Amboise, hasProfessionalTrainingIn, classical ballet]
-
A.
hasHandsOnTraining
Indicates that an entity has received practical, experiential instruction or practice in performing a specific task or activity.
-
B.
trainedAs
Indicates that one entity has received education or instruction to perform the role, profession, or function represented by another entity.
-
C.
receivedTrainingIn
chosen
Indicates that one entity has undergone or been provided with training or instruction in a particular field, skill, or subject associated with another entity.
-
D.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
E.
hasTrainingRole
Indicates that an entity holds or is assigned a specific role within a training or instructional context.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a035ac41d088190b7e76b93c1410090 |
completed | May 12, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_6a035a4f290c8190a0101295a38ae8b8 |
completed | May 12, 2026, 4:50 p.m. |
Created at: May 3, 2026, 4:01 p.m.