Triple
T18882345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Fel |
E461861
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Le Fel (French) |
—
|
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: Le Fel (French) | Statement: [Le Fel, hasNameInLanguage, Le Fel (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Fel (French) Context triple: [Le Fel, hasNameInLanguage, Le Fel (French)]
-
A.
Le Fel
chosen
Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
-
B.
Les Fâcheux
Les Fâcheux is a 1924 neoclassical ballet choreographed by Bronislava Nijinska, noted for its witty, stylized reinterpretation of Molière’s comedy within the Ballets Russes repertoire.
-
C.
Le Fou et la Vénus
Le Fou et la Vénus is a short poetic-prose piece by Charles Baudelaire, included among the vignettes of his collection Le Spleen de Paris.
-
D.
Le Doulos
Le Doulos is a 1962 French film noir crime thriller by Jean-Pierre Melville, renowned for its moody atmosphere, intricate plot, and exploration of loyalty and betrayal in the Parisian underworld.
-
E.
Léon
Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d3286081908c1ae2cb413b49aa |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.