Triple
T20858656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octave Mouret |
E513552
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Pot-Bouille |
—
|
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: Pot-Bouille | Statement: [Octave Mouret, appearsIn, Pot-Bouille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pot-Bouille Context triple: [Octave Mouret, appearsIn, Pot-Bouille]
-
A.
Pot-Bouille
chosen
Pot-Bouille is a naturalist novel by Émile Zola that exposes the hypocrisy and moral corruption of bourgeois life in a Parisian apartment building.
-
B.
La Soupe
La Soupe is a somber, monochromatic painting by Pablo Picasso that exemplifies the emotional depth and social themes of his Blue Period.
-
C.
La Bouille
La Bouille is a small picturesque commune in northern France, situated along the Seine River in the Normandy region.
-
D.
Bouchoir
Bouchoir is a small French commune located in the Somme department in northern France.
-
E.
La Grande Galette
La Grande Galette is the affectionate nickname of the Caribbean island of Marie-Galante, known for its round shape, sugarcane fields, and traditional rum production.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a9fd7881908ae4c5c63f64efc0 |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.