Triple

T19426725
Position Surface form Disambiguated ID Type / Status
Subject Alexander Siloti E485997 entity
Predicate studiedUnder P7251 FINISHED
Object Nikolai Rubinstein E125636 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: Nikolai Rubinstein | Statement: [Alexander Siloti, studiedUnder, Nikolai Rubinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolai Rubinstein
Context triple: [Alexander Siloti, studiedUnder, Nikolai Rubinstein]
  • A. Nikolai Rubinstein chosen
    Nikolai Rubinstein was a prominent 19th-century Russian pianist, conductor, and educator who co-founded and directed the Moscow Conservatory.
  • B. Anton Rubinstein
    Anton Rubinstein was a renowned 19th-century Russian pianist, composer, and conductor who played a pivotal role in shaping Russian classical music and music education.
  • C. Michael Rubinstein
    Michael Rubinstein is a computer scientist known for his contributions to theoretical computer science and algorithms.
  • D. Leonid Kreutzer
    Leonid Kreutzer was a prominent 20th-century pianist and influential piano pedagogue, particularly known for his work in Germany and later Japan.
  • E. Vasily Borodin
    Vasily Borodin is a fictional Soviet submarine officer and navigator who serves as a key crew member aboard Captain Marko Ramius’s submarine in Tom Clancy’s novel and its film adaptation, "The Hunt for Red October."
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63219f27481909fe686209defc971 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0826f137a88190ad9961718b77d0c3 completed May 16, 2026, 8:12 a.m.
Created at: April 10, 2026, 1:37 p.m.