Triple
T10532303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Ben-Veniste |
E248474
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ben-Veniste |
E248474
|
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: Ben-Veniste | Statement: [Richard Ben-Veniste, familyName, Ben-Veniste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben-Veniste Context triple: [Richard Ben-Veniste, familyName, Ben-Veniste]
-
A.
Ben-Veniste
chosen
Ben-Veniste is the surname of Richard Ben-Veniste, an American lawyer known for his roles in high-profile U.S. government investigations.
-
B.
Ben-Ammi
Ben-Ammi is a biblical figure described in the Book of Genesis as the progenitor of the Ammonite people.
-
C.
Aspremont
Aspremont is a small picturesque commune in southeastern France, situated in the hills above Nice in the Alpes-Maritimes department.
-
D.
Laviolette
Laviolette was a 17th-century French military officer and colonial administrator best known for establishing the settlement that became the city of Trois-Rivières in New France.
-
E.
Tatischeff
Tatischeff is the original family surname of French filmmaker and actor Jacques Tati, known for his influential comedic films and the character Monsieur Hulot.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a17f23081909f3372e160e21670 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e471e9c8190b134249073b289bd |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:30 p.m.