Triple
T3569521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Émile Bernard |
E75533
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Andrée Fort |
E75533
|
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: Andrée Fort | Statement: [Émile Bernard, spouse, Andrée Fort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrée Fort Context triple: [Émile Bernard, spouse, Andrée Fort]
-
A.
Andrée Fort
chosen
Andrée Fort was the wife of French Post-Impressionist painter and writer Émile Bernard.
-
B.
Anne Louvet
Anne Louvet is the young, emotionally scarred waitress whose love affair with a married man drives the tragic romantic and political drama of Sebastian Faulks’s novel "The Girl at the Lion d'Or."
-
C.
Marcelle Lapré
Marcelle Lapré was the wife and lifelong companion of pioneering Cubist painter Georges Braque.
-
D.
Odile Mallet
Odile Mallet is an actress known for her role in the visually distinctive French science-fiction film "The City of Lost Children."
-
E.
Aurélia Thierrée
Aurélia Thierrée is a French actress and circus performer known for her surreal, dreamlike stage shows that blend physical theatre, mime, and illusion.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c1ecb081909051bcc1f38eea31 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdd663a881908707ec3bc6a3ebcc |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:21 p.m.