Triple
T31384187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geva Theatre Center |
E800550
|
entity |
| Predicate | hasResidentArtists |
P98905
|
FINISHED |
| Object | actors |
—
|
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: actors | Statement: [Geva Theatre Center, hasResidentArtists, actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentArtists Context triple: [Geva Theatre Center, hasResidentArtists, actors]
-
A.
hasResidentArtist
chosen
Indicates that one entity serves as the resident artist associated with or based at another entity.
-
B.
artistResidence
Indicates that a given location is the place where an artist lives or is based.
-
C.
hasArtDistrict
Indicates that a place or region contains or is associated with a designated art district area.
-
D.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
-
E.
hasComposerInResidence
Indicates that an organization or institution has officially appointed a specific composer to serve in a resident or ongoing compositional role.
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_6a014a0b57dc8190b04ce51156ab95fa |
completed | May 11, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_6a0149afa57c8190a83257085766d916 |
completed | May 11, 2026, 3:14 a.m. |
Created at: April 29, 2026, 9:19 p.m.