Triple
T5104574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rose Theatre |
E115058
|
entity |
| Predicate | audienceArea |
P31261
|
FINISHED |
| Object | yard for groundlings |
—
|
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: yard for groundlings | Statement: [The Rose Theatre, audienceArea, yard for groundlings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceArea Context triple: [The Rose Theatre, audienceArea, yard for groundlings]
-
A.
audienceCapacityType
Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
-
B.
audienceSetting
Indicates the context or environment in which an audience is situated or addressed.
-
C.
audienceScale
Indicates the relative size or reach of the audience associated with an entity, event, or communication.
-
D.
spectatorAreaType
chosen
Indicates the specific kind or category of area designated for spectators in a venue or event setting.
-
E.
hasAuditorium
Indicates that one entity possesses or includes an auditorium as part of its facilities.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7589e40c8190a46e4a1b7142be14 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.