Triple
T19242924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | skene |
E481176
|
entity |
| Predicate | locationInTheatre |
P127635
|
FINISHED |
| Object | behind the orchestra |
—
|
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: behind the orchestra | Statement: [skene, locationInTheatre, behind the orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationInTheatre Context triple: [skene, locationInTheatre, behind the orchestra]
-
A.
locatedInTheater
chosen
Indicates that something is situated within or inside a theater.
-
B.
isIndoorTheatre
Indicates that a theatre is located indoors rather than outdoors.
-
C.
isPartOfTheater
Indicates that one entity functions as a component, section, or subdivision within a larger theater (such as a theater building, complex, or organizational unit).
-
D.
filmSettingTheater
Indicates that a film’s setting or key scenes take place in a theater (such as a cinema or playhouse).
-
E.
intendedTheatre
Indicates a relationship where an entity is planned, designed, or meant to be performed, shown, or take place in a particular theatre.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf3018881909ef866616c45ff2e |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:27 p.m.