Triple
T12819780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera de Bosset |
E306497
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Bosset
de Bosset is a family name most notably associated with Vera de Bosset, the longtime companion and later wife of composer Igor Stravinsky.
|
E1003713
|
NE FINISHED |
How this triple was built (4 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: de Bosset | Statement: [Vera de Bosset, familyName, de Bosset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Bosset Context triple: [Vera de Bosset, familyName, de Bosset]
-
A.
Besson
Besson is a French surname most prominently associated with filmmaker Luc Besson, known for directing and producing influential action and science fiction films.
-
B.
Michel Bouquet
Michel Bouquet was a renowned French actor celebrated for his nuanced performances in theatre and film over a career spanning more than six decades.
-
C.
Marcel Canet
Marcel Canet is the son of French actors Marion Cotillard and Guillaume Canet.
-
D.
Villedieu
Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
-
E.
Joseph Biroc
Joseph Biroc was an American cinematographer best known for his influential work on classic Hollywood films, including the beloved holiday movie "It's a Wonderful Life."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: de Bosset Triple: [Vera de Bosset, familyName, de Bosset]
Generated description
de Bosset is a family name most notably associated with Vera de Bosset, the longtime companion and later wife of composer Igor Stravinsky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Bosset Target entity description: de Bosset is a family name most notably associated with Vera de Bosset, the longtime companion and later wife of composer Igor Stravinsky.
-
A.
Besson
Besson is a French surname most prominently associated with filmmaker Luc Besson, known for directing and producing influential action and science fiction films.
-
B.
Michel Bouquet
Michel Bouquet was a renowned French actor celebrated for his nuanced performances in theatre and film over a career spanning more than six decades.
-
C.
Marcel Canet
Marcel Canet is the son of French actors Marion Cotillard and Guillaume Canet.
-
D.
Villedieu
Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
-
E.
Joseph Biroc
Joseph Biroc was an American cinematographer best known for his influential work on classic Hollywood films, including the beloved holiday movie "It's a Wonderful Life."
- F. None of above. chosen
Provenance (5 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_69f68ed165188190a4cac781c753fb23 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f68f8d2ca08190a385635fb6130a9f |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f690353d848190bc1ff9546d2ec44f |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:31 p.m.