Triple

T13513611
Position Surface form Disambiguated ID Type / Status
Subject Boris Berezovsky E322698 entity
Predicate studiedUnder P7251 FINISHED
Object Alexander Satz
Alexander Satz was a distinguished Russian pianist and pedagogue known for mentoring prominent artists such as Boris Berezovsky.
 E1047498 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: Alexander Satz | Statement: [Boris Berezovsky, studiedUnder, Alexander Satz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexander Satz
Context triple: [Boris Berezovsky, studiedUnder, Alexander Satz]
  • A. Alexander Weinstein
    Alexander Weinstein is the husband of American screenwriter and actress Jenny Lumet.
  • B. Richard Sokolove
    Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
  • C. Daniel Ullman
    Daniel Ullman was an American screenwriter known for his work on mid-20th-century genre films, particularly Westerns and thrillers.
  • D. Simon Leibowitz
    Simon Leibowitz is an individual notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • E. Allen Weinstein
    Allen Weinstein was an American historian and professor who served as the ninth Archivist of the United States, overseeing the National Archives and Records Administration.
  • 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: Alexander Satz
Triple: [Boris Berezovsky, studiedUnder, Alexander Satz]
Generated description
Alexander Satz was a distinguished Russian pianist and pedagogue known for mentoring prominent artists such as Boris Berezovsky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexander Satz
Target entity description: Alexander Satz was a distinguished Russian pianist and pedagogue known for mentoring prominent artists such as Boris Berezovsky.
  • A. Alexander Weinstein
    Alexander Weinstein is the husband of American screenwriter and actress Jenny Lumet.
  • B. Richard Sokolove
    Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
  • C. Daniel Ullman
    Daniel Ullman was an American screenwriter known for his work on mid-20th-century genre films, particularly Westerns and thrillers.
  • D. Simon Leibowitz
    Simon Leibowitz is an individual notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • E. Allen Weinstein
    Allen Weinstein was an American historian and professor who served as the ninth Archivist of the United States, overseeing the National Archives and Records Administration.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d91e35881909a7184be0ad70c14 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75fbb39848190beeae0e4c112510d completed May 3, 2026, 2:46 p.m.
NED2 Entity disambiguation (via description) batch_69f76049056c8190b77f8ca78c8f77a0 completed May 3, 2026, 2:48 p.m.
Created at: April 9, 2026, 9:44 p.m.