Triple
T9730234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Roussel |
E235719
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Le Festin de l’araignée |
E231768
|
NE 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: Le Festin de l’araignée | Statement: [Albert Roussel, notableWork, Le Festin de l’araignée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Festin de l’araignée Context triple: [Albert Roussel, notableWork, Le Festin de l’araignée]
-
A.
Le festin de l’araignée
chosen
Le festin de l’araignée is a 1913 ballet-pantomime by French composer Albert Roussel, notable for its impressionistic orchestral depiction of insect life in a garden.
-
B.
La Braconne
La Braconne is a French film featuring actress Rachida Brakni in a prominent role.
-
C.
Le Gâteau
Le Gâteau is one of the short prose poems in Charles Baudelaire’s collection *Le Spleen de Paris*, exemplifying his exploration of modern urban life and existential melancholy.
-
D.
Le Pâté
Le Pâté is a small, uninhabited islet in the Îles des Saintes archipelago of Guadeloupe in the Caribbean.
-
E.
Les Écréhous
Les Écréhous is a small, largely uninhabited group of islets and rocks in the English Channel, lying off the coast of Jersey and known for its wildlife and scenic seascapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb0ff488190ac32ed304a3cd3bc |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fb97b6c81908d5f1d4f587a9188 |
completed | April 4, 2026, 11:33 p.m. |
Created at: March 30, 2026, 8:21 p.m.