Triple

T27133988
Position Surface form Disambiguated ID Type / Status
Subject Mathematical Theory of Optimal Processes E681631 entity
Predicate author P4 FINISHED
Object Vladimir Boltyanskii
Vladimir Boltyanskii was a Soviet mathematician known for his significant contributions to optimal control theory, geometry, and the development of the Pontryagin maximum principle.
E1768487 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: Vladimir Boltyanskii | Statement: [Mathematical Theory of Optimal Processes, author, Vladimir Boltyanskii]
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: Vladimir Boltyanskii
Triple: [Mathematical Theory of Optimal Processes, author, Vladimir Boltyanskii]
Generated description
Vladimir Boltyanskii was a Soviet mathematician known for his significant contributions to optimal control theory, geometry, and the development of the Pontryagin maximum principle.

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_69eefacbcc2081909ebf00daa23f1981 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62479bbb88190bcad383443cbd638 completed May 2, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c8eec248190982b3c186929c80f completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a12a073461c8190a32f6f5c1a6cfd19 completed May 24, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_6a12a0caf4648190a7f3e1ffa500394f completed May 24, 2026, 6:55 a.m.
Created at: April 27, 2026, 9:06 a.m.