Triple
T31359134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Pas Classique Hongrois |
E799814
|
entity |
| Predicate | isExcerptFrom |
P64118
|
FINISHED |
| Object | full-length ballet Raymonda |
—
|
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: full-length ballet Raymonda | Statement: [Grand Pas Classique Hongrois, isExcerptFrom, full-length ballet Raymonda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isExcerptFrom Context triple: [Grand Pas Classique Hongrois, isExcerptFrom, full-length ballet Raymonda]
-
A.
hasExcerpt
chosen
Indicates that one entity contains or is associated with a selected portion or extract taken from another entity.
-
B.
isAnthologySegmentOf
Indicates that one work or segment is a constituent part or episode within a larger anthology work.
-
C.
isFamousExcerptOf
Indicates that one text passage is a well-known or widely recognized excerpt taken from a larger work.
-
D.
abridgedIn
Indicates that one entity is a shortened or condensed version of the content found within another entity.
-
E.
hasExcerptsPublishedOn
Indicates that certain excerpts from a work or content have been published on a specified platform, medium, or outlet.
- 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f4a00ac8190b7d9fa66781cef1f |
completed | May 3, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:17 p.m.