Triple
T19704520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Coralli |
E473176
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | La Péri |
—
|
NE NERFINISHED |
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: La Péri | Statement: [Jean Coralli, notableWork, La Péri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Péri Context triple: [Jean Coralli, notableWork, La Péri]
-
A.
La Péri
chosen
La Péri is a short, one-act ballet by French composer Paul Dukas, best known for its lush, impressionistic orchestral score and exotic, Persian-inspired narrative.
-
B.
Énée
Énée is the French name for Aeneas, the Trojan hero of classical mythology and central figure of Virgil’s Aeneid, renowned for his piety and role as legendary ancestor of the Romans.
-
C.
L’Ecrin
L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
-
D.
Thalassa
Thalassa is a primordial sea goddess in Greek mythology, personifying the sea itself and associated with the origins of marine life.
-
E.
Thalassa
Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b998608190a82f23bbf77f7bd2 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.