Triple
T18101182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Corsaire pas de deux |
E433219
|
entity |
| Predicate | commonlyExcerptedFrom |
P20447
|
FINISHED |
| Object | full-length ballet Le Corsaire |
—
|
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 Le Corsaire | Statement: [Le Corsaire pas de deux, commonlyExcerptedFrom, full-length ballet Le Corsaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyExcerptedFrom Context triple: [Le Corsaire pas de deux, commonlyExcerptedFrom, full-length ballet Le Corsaire]
-
A.
abridgedIn
chosen
Indicates that one entity is a shortened or condensed version of the content found within another entity.
-
B.
oftenCitedAs
Indicates that one entity is frequently referenced or mentioned as an example, source, or authority in relation to another entity.
-
C.
mainlyExpoundedIn
Indicates that the primary or most detailed explanation or treatment of something is found in a particular source or work.
-
D.
attestedInWorksOf
Indicates that something (such as a claim, form, or usage) is documented or evidenced within the works produced by a particular author or creator.
-
E.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb6fed8819090798683353a5c08 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.