Triple
T14106927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berthe Josserand |
E339530
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Josserand |
E1083612
|
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: Josserand | Statement: [Berthe Josserand, familyName, Josserand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josserand Context triple: [Berthe Josserand, familyName, Josserand]
-
A.
Josserand
chosen
Josserand is a French surname most notably associated with the fictional bourgeois family in Émile Zola’s novel "Pot-Bouille."
-
B.
Jacquère
Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
-
C.
Jougne
Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
-
D.
Courcier
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
-
E.
Béraud
Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600ada808190b92d67dc30f13d15 |
completed | April 14, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193332308190870c4ec7c9753202 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:22 p.m.