Triple
T6470673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone Veil |
E142339
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Jean Veil
Jean Veil is a French lawyer best known as the son of prominent politician and Holocaust survivor Simone Veil.
|
E596343
|
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: Jean Veil | Statement: [Simone Veil, hasChild, Jean Veil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Veil Context triple: [Simone Veil, hasChild, Jean Veil]
-
A.
Jean Varlet
Jean Varlet was a radical French revolutionary and prominent Enragé leader known for his militant advocacy of direct democracy and social equality during the French Revolution.
-
B.
Charles Jonnart
Charles Jonnart was a French politician and statesman of the Third Republic, known for his ministerial roles and influence in centrist republican politics.
-
C.
Jean-Marie
Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
-
D.
Jean Renaudie
Jean Renaudie was a French architect known for his radical, geometric social housing projects and influential role in postwar modernist architecture.
-
E.
Jean Crotti
Jean Crotti was a Swiss-born French painter associated with early 20th-century avant-garde movements, particularly Dada and Orphism.
- 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: Jean Veil Triple: [Simone Veil, hasChild, Jean Veil]
Generated description
Jean Veil is a French lawyer best known as the son of prominent politician and Holocaust survivor Simone Veil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Veil Target entity description: Jean Veil is a French lawyer best known as the son of prominent politician and Holocaust survivor Simone Veil.
-
A.
Jean Varlet
Jean Varlet was a radical French revolutionary and prominent Enragé leader known for his militant advocacy of direct democracy and social equality during the French Revolution.
-
B.
Charles Jonnart
Charles Jonnart was a French politician and statesman of the Third Republic, known for his ministerial roles and influence in centrist republican politics.
-
C.
Jean-Marie
Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
-
D.
Jean Renaudie
Jean Renaudie was a French architect known for his radical, geometric social housing projects and influential role in postwar modernist architecture.
-
E.
Jean Crotti
Jean Crotti was a Swiss-born French painter associated with early 20th-century avant-garde movements, particularly Dada and Orphism.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a2e896481908ed004e3b0a33121 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6539c93c481909bed35b68ce420d8 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6559d06c8819082cad37d62fcb3a3 |
completed | March 27, 2026, 10:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6564e01748190a3a12abcc0dfd30f |
completed | March 27, 2026, 10:05 a.m. |
Created at: March 22, 2026, 4:50 p.m.