Triple
T25051408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland Stage Company |
E627391
|
entity |
| Predicate | typeOfTheatre |
P16508
|
FINISHED |
| Object | professional theatre |
—
|
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: professional theatre | Statement: [Portland Stage Company, typeOfTheatre, professional theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTheatre Context triple: [Portland Stage Company, typeOfTheatre, professional theatre]
-
A.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
B.
theatreType
chosen
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
-
C.
cinemaType
Indicates the specific category or kind of cinema associated with an entity (e.g., multiplex, art house, drive-in).
-
D.
featureOfTheatres
Indicates that something is a characteristic, amenity, or component that is typically found in or associated with theatres.
-
E.
theaterSector
Indicates that an entity operates in, is associated with, or belongs to the theater-related sector or industry.
- 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 18, 2026, 6:09 a.m.