Triple
T4547266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Météores |
E110076
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Les Météores |
E110076
|
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: Les Météores | Statement: [Météores, title, Les Météores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Météores Context triple: [Météores, title, Les Météores]
-
A.
Météores
chosen
Météores is one of the scientific essays by René Descartes, accompanying his Discours de la méthode and focusing on the study of meteorological and atmospheric phenomena.
-
B.
Les Éléphants
Les Éléphants is the nickname of the Ivory Coast national football team, renowned in African football for its strong generation of players and multiple Africa Cup of Nations titles.
-
C.
La Moisson
La Moisson is a painting by French Post-Impressionist artist Émile Bernard, exemplifying his early synthetist style and interest in rural, agrarian themes.
-
D.
La Bourboule
La Bourboule is a spa and tourist town in central France, known for its thermal baths and Belle Époque architecture in the Massif Central.
-
E.
Le Feu
Le Feu is a seminal anti-war novel by Henri Barbusse that vividly depicts the grim realities of French soldiers’ experiences in the trenches during World War I.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f11f648190b20892cca6f617b1 |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb945bd3881908e6c3f5f91b5f38e |
completed | March 20, 2026, 9:16 p.m. |
Created at: March 20, 2026, 1:05 p.m.