Triple
T14924183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon Blum |
E371588
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jeanne Blum |
E371588
|
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: Jeanne Blum | Statement: [Léon Blum, spouse, Jeanne Blum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanne Blum Context triple: [Léon Blum, spouse, Jeanne Blum]
-
A.
Jeanne Blum
chosen
Jeanne Blum was the wife of French socialist leader and three-time Prime Minister Léon Blum.
-
B.
Anne Hébert
Anne Hébert was a prominent 20th-century French-Canadian novelist and poet whose psychologically rich, often dark works are considered foundational in modern Quebec and Canadian literature.
-
C.
Ruth Franklin
Ruth Franklin is an American literary critic and biographer best known for her acclaimed biography of novelist Shirley Jackson.
-
D.
Esther Clavin
Esther Clavin is a recurring character on the TV sitcom "Cheers," known as the overbearing and often critical mother of bar regular and mailman Cliff Clavin.
-
E.
Brigitte Fouré
Brigitte Fouré is a French politician known for serving as the mayor of the city of Amiens.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6323f8c8190af02d06352d459c3 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e88e4a08190a56b4a1336e07bdf |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:34 a.m.