Triple
T31534610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluebird pas de deux |
E804570
|
entity |
| Predicate | originalLanguageOfBalletTitle |
P3048
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Bluebird pas de deux, originalLanguageOfBalletTitle, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLanguageOfBalletTitle Context triple: [Bluebird pas de deux, originalLanguageOfBalletTitle, French]
-
A.
balletTitle
Indicates that the subject has the specified title as the name of a ballet.
-
B.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
C.
originalTitleLanguage
chosen
Indicates the language in which a work’s original title was written or expressed.
-
D.
originalLanguageOfLibretto
Indicates the language in which a libretto was originally written for a given work.
-
E.
workInOriginalLanguage
Indicates that a work is being created, presented, or studied in the language in which it was originally produced, without translation.
- 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_69f348d03ef88190a2b73d7b94b9e02d |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00d508290081909f3d5dfbb2e80c8e |
completed | May 10, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_6a00d49da4cc81909566ad286ec22292 |
completed | May 10, 2026, 6:55 p.m. |
Created at: April 30, 2026, 10:03 p.m.