Triple
T10974058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MA Theatre Lab |
E259321
|
entity |
| Predicate | assessmentMode |
P750
|
FINISHED |
| Object | practical performance work |
—
|
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: practical performance work | Statement: [MA Theatre Lab, assessmentMode, practical performance work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assessmentMode Context triple: [MA Theatre Lab, assessmentMode, practical performance work]
-
A.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
-
B.
assessment
Indicates an evaluation or judgment made about an entity’s quality, performance, or characteristics.
-
C.
assessmentName
Indicates the specific title or label assigned to an assessment within a system or context.
-
D.
assessmentNumber
Indicates the unique identifier or code assigned to a specific assessment instance or record.
-
E.
assessmentLevel
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f3794c8190b1992b4695139b62 |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.