Triple
T14935341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winter (La Frileuse) |
E372375
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | La Frileuse |
E1128889
|
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: La Frileuse | Statement: [Winter (La Frileuse), alsoKnownAs, La Frileuse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Frileuse Context triple: [Winter (La Frileuse), alsoKnownAs, La Frileuse]
-
A.
La Frileuse
chosen
La Frileuse is a sculpture commonly associated with the allegorical figure of Winter, depicting a shivering, cloaked female figure.
-
B.
La Cotinière
La Cotinière is a traditional fishing port village on the Atlantic coast of France, known for its active fishing fleet and seafood market.
-
C.
La Bouille
La Bouille is a small picturesque commune in northern France, situated along the Seine River in the Normandy region.
-
D.
La Fanette
"La Fanette" is a melancholic chanson by Belgian singer-songwriter Jacques Brel, known for its vivid storytelling and themes of lost love and regret.
-
E.
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.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded647ae388190a0e97c03f2a4d832 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd3fef481908e4d2ffdcfa87def |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:37 a.m.