Triple
T29839324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greek Passion |
E757740
|
entity |
| Predicate | firstVersionLanguage |
P121676
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [The Greek Passion, firstVersionLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVersionLanguage Context triple: [The Greek Passion, firstVersionLanguage, English]
-
A.
firstEditionLanguage
Indicates the language in which a work was originally published in its first edition.
-
B.
firstAppearanceLanguage
chosen
Indicates the language in which an entity (such as a work or character) was first introduced or appeared.
-
C.
primaryLanguageVersion
Indicates that one language version of a resource is designated as the main or default version among its language variants.
-
D.
originalLanguageVersionRecordedIn
Indicates that the original-language version of a work was recorded in a specified medium, format, or recording context.
-
E.
firstReleaseVersion
Indicates the specific version identifier associated with the initial public release of something.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a013d7180d08190b76f64cb430af9e1 |
completed | May 11, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_6a013c77d23c8190bb59e458b506d6e9 |
completed | May 11, 2026, 2:18 a.m. |
Created at: April 29, 2026, 5:38 p.m.