Triple
T11778071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | À rebours |
E280068
|
entity |
| Predicate | relatedWorkByAuthor |
P922
|
FINISHED |
| Object | Là-bas |
E362672
|
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: Là-bas | Statement: [À rebours, relatedWorkByAuthor, Là-bas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Là-bas Context triple: [À rebours, relatedWorkByAuthor, Là-bas]
-
A.
Là-bas
chosen
Là-bas is a controversial 1891 novel by French writer Joris-Karl Huysmans that explores Satanism, decadence, and spiritual crisis in fin-de-siècle France.
-
B.
Le Pays
Le Pays is a French-language newspaper historically linked to the socialist Parti rouge in Quebec, serving as a platform for its political ideas and debates.
-
C.
Le plat pays
"Le plat pays" is a famous chanson by Belgian singer-songwriter Jacques Brel that poetically evokes the flat landscapes and melancholic atmosphere of his native Flanders.
-
D.
La Bessiere
La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
-
E.
The Lyons
The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a560bf548190afab3ad14f953a71 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090b8f4c481908cb3cf03875c0e24 |
completed | April 28, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:42 p.m.