Triple

T29722351
Position Surface form Disambiguated ID Type / Status
Subject Marguerite Long E752088 entity
Predicate notableStudent P4838 FINISHED
Object Mikhail Pletnev
Mikhail Pletnev is a Russian pianist, conductor, and composer, best known as the founder and artistic director of the Russian National Orchestra and for his virtuosic interpretations of the classical repertoire.
E1895319 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: Mikhail Pletnev | Statement: [Marguerite Long, notableStudent, Mikhail Pletnev]
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: Mikhail Pletnev
Triple: [Marguerite Long, notableStudent, Mikhail Pletnev]
Generated description
Mikhail Pletnev is a Russian pianist, conductor, and composer, best known as the founder and artistic director of the Russian National Orchestra and for his virtuosic interpretations of the classical repertoire.

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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672fbd174819094642a594a447e47 completed May 2, 2026, 9:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721d6763c8190a6f7f4f214bcc663 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a2722e635488190b4dd3cf0e212f790 completed June 8, 2026, 8:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2727b3fa008190a3d9bb95a065af14 completed June 8, 2026, 8:36 p.m.
Created at: April 28, 2026, 7:37 p.m.