Triple

T26429809
Position Surface form Disambiguated ID Type / Status
Subject Barsotti E664473 entity
Predicate hasNotableBearer P458 FINISHED
Object Vincenzo Barsotti
Vincenzo Barsotti was an Italian mathematician known for his contributions to algebraic geometry and p-adic Hodge theory, particularly through the concept of Barsotti–Tate groups.
E2295048 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: Vincenzo Barsotti | Statement: [Barsotti, hasNotableBearer, Vincenzo Barsotti]
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: Vincenzo Barsotti
Triple: [Barsotti, hasNotableBearer, Vincenzo Barsotti]
Generated description
Vincenzo Barsotti was an Italian mathematician known for his contributions to algebraic geometry and p-adic Hodge theory, particularly through the concept of Barsotti–Tate groups.

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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f611bd3ec0819080f559e2cb3889a0 completed May 2, 2026, 3:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7cfabad4688190833cb8bff60cdd0e completed Aug. 12, 2026, 10:59 p.m.
NEDg Description generation batch_6a7cfb03825081908e8a69f4a1715f82 completed Aug. 12, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_6a7cfb2e83c481908eb9f6a2ee56f741 completed Aug. 12, 2026, 11:01 p.m.
Created at: April 26, 2026, 11:48 p.m.