Triple
T14351823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Musical and Dramatic Academy |
E355870
|
entity |
| Predicate | hasConservatoryModel |
P55412
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [American Musical and Dramatic Academy, hasConservatoryModel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConservatoryModel Context triple: [American Musical and Dramatic Academy, hasConservatoryModel, true]
-
A.
hasConservatoryType
Indicates the specific type or classification of a conservatory associated with an entity.
-
B.
hasConservatoryOrigin
Indicates that something originates from, or is derived from, a conservatory (such as a music or arts conservatory).
-
C.
hasMusicInstitution
chosen
Indicates that an entity is associated with or hosts a music-related institution, such as a conservatory, music school, or similar organization.
-
D.
hasConservationModel
Indicates that an entity is associated with or governed by a specific conservation model that describes how some quantity or property is preserved or transformed.
-
E.
hasConductor
Indicates that an entity (such as an event, performance, or ensemble) is associated with a specific conductor who leads or directs it.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:14 a.m.