Triple
T27107989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Northwest Ballet |
E686632
|
entity |
| Predicate | hasBalletSchool |
P168784
|
FINISHED |
| Object | Pacific Northwest Ballet School |
—
|
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: Pacific Northwest Ballet School | Statement: [Pacific Northwest Ballet, hasBalletSchool, Pacific Northwest Ballet School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBalletSchool Context triple: [Pacific Northwest Ballet, hasBalletSchool, Pacific Northwest Ballet School]
-
A.
hasBalletMaster
Indicates that an entity is associated with or overseen by a specific ballet master responsible for its ballet-related training, direction, or instruction.
-
B.
choreographicSchool
Indicates that one entity is a school, tradition, or style of choreography associated with the other entity.
-
C.
balletAssociation
chosen
Indicates a relationship where one entity is connected to another through involvement, affiliation, or participation in ballet.
-
D.
hasArtisticSchool
Indicates that an entity is associated with, belongs to, or is characterized by a particular artistic school or style.
-
E.
balletType
Indicates that one entity is classified as a specific type or category of ballet in relation to another entity.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 8:52 a.m.