Triple
T20858675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octave Mouret |
E513552
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object | Denise Baudu |
—
|
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: Denise Baudu | Statement: [Octave Mouret, loveInterest, Denise Baudu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise Baudu Context triple: [Octave Mouret, loveInterest, Denise Baudu]
-
A.
Denise Baudu
chosen
Denise Baudu is the young, determined saleswoman who serves as the central heroine of Émile Zola’s novel "Au Bonheur des Dames," embodying both the struggles and aspirations of women in the rise of the modern department store.
-
B.
Monique Baudot
Monique Baudot was the French-born second wife of Vietnam’s last emperor, Bảo Đại, known for her life in exile with him in France.
-
C.
Nathalie Descamps
Nathalie Descamps is a Belgian badminton player known for competing internationally in women's and mixed doubles events.
-
D.
Christine Guillemy
Christine Guillemy is a French local politician who serves as the mayor of the city of Chaumont in northeastern France.
-
E.
Nathalie Barthe
Nathalie Barthe is a French local politician who serves as the mayor of the commune of Savines-le-Lac in southeastern France.
- 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.