Triple
T17781603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vito Schnabel |
E443912
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Jacqueline Beaurang
Jacqueline Beaurang is the mother of art dealer and curator Vito Schnabel.
|
E1296681
|
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: Jacqueline Beaurang | Statement: [Vito Schnabel, parent, Jacqueline Beaurang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacqueline Beaurang Context triple: [Vito Schnabel, parent, Jacqueline Beaurang]
-
A.
Jacqueline Belhomme
Jacqueline Belhomme is a French politician who serves as the mayor of the Paris suburb of Malakoff.
-
B.
Jacqueline Broyer
Jacqueline Broyer is a confident, high-powered executive and one of the central love interests in the romantic comedy film "Boomerang" (1992).
-
C.
Jacqueline Pascal
Jacqueline Pascal was a 17th-century French nun, writer, and poet associated with the Jansenist movement and known for her close intellectual and spiritual relationship with her brother Blaise Pascal.
-
D.
Jacqueline Delubac
Jacqueline Delubac was a French actress known for her roles in 1930s French cinema and her collaborations with playwright-filmmaker Sacha Guitry.
-
E.
Jacqueline Sassard
Jacqueline Sassard was a French actress best known for her roles in European art-house films of the 1950s and 1960s.
- 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: Jacqueline Beaurang Triple: [Vito Schnabel, parent, Jacqueline Beaurang]
Generated description
Jacqueline Beaurang is the mother of art dealer and curator Vito Schnabel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacqueline Beaurang Target entity description: Jacqueline Beaurang is the mother of art dealer and curator Vito Schnabel.
-
A.
Jacqueline Belhomme
Jacqueline Belhomme is a French politician who serves as the mayor of the Paris suburb of Malakoff.
-
B.
Jacqueline Broyer
Jacqueline Broyer is a confident, high-powered executive and one of the central love interests in the romantic comedy film "Boomerang" (1992).
-
C.
Jacqueline Pascal
Jacqueline Pascal was a 17th-century French nun, writer, and poet associated with the Jansenist movement and known for her close intellectual and spiritual relationship with her brother Blaise Pascal.
-
D.
Jacqueline Delubac
Jacqueline Delubac was a French actress known for her roles in 1930s French cinema and her collaborations with playwright-filmmaker Sacha Guitry.
-
E.
Jacqueline Sassard
Jacqueline Sassard was a French actress best known for her roles in European art-house films of the 1950s and 1960s.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4872152508190870a1765e0972ec1 |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03211d93e081909aaa6287be791407 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a032261fd1081909ba0b04db93d16da |
completed | May 12, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03232d682c8190bb9b8773609c83c2 |
completed | May 12, 2026, 12:55 p.m. |
Created at: April 10, 2026, 10:12 a.m.