Triple
T18098393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saenger Amusement Company |
E433148
|
entity |
| Predicate | featureOfTheatres |
P130413
|
FINISHED |
| Object | lavish interiors |
—
|
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: lavish interiors | Statement: [Saenger Amusement Company, featureOfTheatres, lavish interiors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureOfTheatres Context triple: [Saenger Amusement Company, featureOfTheatres, lavish interiors]
-
A.
theaterSupport
Indicates that one entity provides assistance, resources, or services to support another entity in the context of theater or theatrical activities.
-
B.
scopeOfTheatres
Indicates that there is a defined range, coverage, or extent of activities, responsibilities, or influence associated with particular theatres (e.g., theaters of operation or venues).
-
C.
theaterType
Indicates the specific kind or category of theater associated with an entity (e.g., cinema, opera house, drama theater).
-
D.
filmSettingTheater
Indicates that a film’s setting or key scenes take place in a theater (such as a cinema or playhouse).
-
E.
theaterRequirement
Indicates that a certain condition, resource, or specification is required for a theater-related activity, production, or venue to be valid or properly supported.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb3ef548190a322f98917b54a59 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:27 a.m.