Triple
T22654892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Empty Space |
E559197
|
entity |
| Predicate | definesTheatreAs |
P149079
|
FINISHED |
| Object | any empty space where someone walks across while someone else watches |
—
|
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: any empty space where someone walks across while someone else watches | Statement: [The Empty Space, definesTheatreAs, any empty space where someone walks across while someone else watches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesTheatreAs Context triple: [The Empty Space, definesTheatreAs, any empty space where someone walks across while someone else watches]
-
A.
theatre
Indicates that an entity is a theater or is associated with theatrical performances or activities.
-
B.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
-
C.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
D.
partOfTheatre
Indicates that one entity is a component, section, or subdivision of a theatre.
-
E.
typicalTheatre
Indicates that something is characteristic of or commonly found in a theatre setting.
- F. None of above. chosen
Provenance (4 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765a97ac819095f21ccbdada1d0a |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:06 p.m.