Triple
T1124882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaw Festival Theatre |
E24696
|
entity |
| Predicate | hasTypeOfProduction |
P2475
|
FINISHED |
| Object | plays |
—
|
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: plays | Statement: [Shaw Festival Theatre, hasTypeOfProduction, plays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfProduction Context triple: [Shaw Festival Theatre, hasTypeOfProduction, plays]
-
A.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity associated with an entity.
-
B.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
-
C.
hasMajorProductionSystem
Indicates that an entity primarily operates, utilizes, or is characterized by a particular major production system.
-
D.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
E.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.