Triple
T12819778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera de Bosset |
E306497
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vera de Bosset |
E306497
|
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: Vera de Bosset | Statement: [Vera de Bosset, name, Vera de Bosset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera de Bosset Context triple: [Vera de Bosset, name, Vera de Bosset]
-
A.
Vera de Bosset
chosen
Vera de Bosset was a Russian-born dancer and socialite best known as the longtime companion and later second wife of composer Igor Stravinsky.
-
B.
Nina Foch
Nina Foch was a Dutch-born American actress known for her poised, often aristocratic roles in classic Hollywood films and for her work as a respected acting teacher.
-
C.
Danielle Darrieux
Danielle Darrieux was a celebrated French actress and singer whose career spanned over eight decades, making her one of France’s most enduring and versatile film stars.
-
D.
Simone Signoret
Simone Signoret was an acclaimed French actress and Academy Award winner, renowned for her powerful performances in mid-20th-century European cinema.
-
E.
Hélène Brion
Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9e5a2481908921d097df541db8 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b97ffd481909c540f52c781f63f |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:31 p.m.