Triple
T2236430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Ben-Veniste |
E49291
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ben-Veniste
Ben-Veniste is the surname of Richard Ben-Veniste, an American lawyer known for his roles in high-profile U.S. government investigations.
|
E248474
|
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: 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.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
B.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
C.
Val Veny
Val Veny is a scenic alpine valley near Courmayeur in Italy’s Aosta Valley, known for its dramatic views of Mont Blanc, hiking trails, and natural landscapes.
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Tournier
Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
- 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: Ben-Veniste Triple: [Richard Ben-Veniste, familyName, Ben-Veniste]
Generated description
Ben-Veniste is the surname of Richard Ben-Veniste, an American lawyer known for his roles in high-profile U.S. government investigations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben-Veniste Target entity description: Ben-Veniste is the surname of Richard Ben-Veniste, an American lawyer known for his roles in high-profile U.S. government investigations.
-
A.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
B.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
C.
Val Veny
Val Veny is a scenic alpine valley near Courmayeur in Italy’s Aosta Valley, known for its dramatic views of Mont Blanc, hiking trails, and natural landscapes.
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Tournier
Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09573848190bf91eddcc2fa0061 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b08c5248190924a28f4c1bd0e2c |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6c5cb33481909261f7010e8e21a6 |
completed | March 9, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6cd61e808190aefca4d4aa1f8e39 |
completed | March 9, 2026, 6:46 a.m. |
Created at: March 4, 2026, 7:47 p.m.