Triple
T22413164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stage Entertainment |
E554041
|
entity |
| Predicate | hasLanguageVersionProductions |
P148080
|
FINISHED |
| Object | German-language musicals |
—
|
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: German-language musicals | Statement: [Stage Entertainment, hasLanguageVersionProductions, German-language musicals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageVersionProductions Context triple: [Stage Entertainment, hasLanguageVersionProductions, German-language musicals]
-
A.
hasLanguageType
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
-
B.
hasDenseProduction
Indicates that production activity within a given area or context is concentrated and intensive rather than sparse or dispersed.
-
C.
requiresLanguageVersion
Indicates that one entity depends on or must use a specific version of a language in order to function or be considered valid.
-
D.
hasLaterFormLanguage
Indicates that one language has a subsequent or later-developed form or variant in another language.
-
E.
hasMetalanguage
Indicates that one entity serves as a metalanguage used to describe, define, or reason about another language or formal system.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594496348190ba25dc0193d092f2 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:46 p.m.