Triple

T6185807
Position Surface form Disambiguated ID Type / Status
Subject Nina Bernstein E138053 entity
Predicate relative P37 FINISHED
Object Alexander Bernstein E63086 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: Alexander Bernstein | Statement: [Nina Bernstein, relative, Alexander Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Bernstein
Context triple: [Nina Bernstein, relative, Alexander Bernstein]
  • A. Alexander Bernstein chosen
    Alexander Bernstein is an American educator and arts advocate, best known as the son of renowned composer and conductor Leonard Bernstein.
  • B. Louis Bernstein
    Louis Bernstein is the birth name of Leonard Bernstein, the renowned American composer, conductor, and pianist.
  • C. Armyan Bernstein
    Armyan Bernstein is an American film producer, screenwriter, and co-founder of Beacon Pictures, known for producing a range of notable Hollywood films.
  • D. Jacob Bernstein
    Jacob Bernstein is an American journalist, writer, and filmmaker known for his work with The New York Times and his documentaries on cultural and media figures.
  • E. Peretz Bernstein
    Peretz Bernstein was a Zionist activist and Israeli politician who served as a signatory of Israel’s Declaration of Independence and later as a government minister.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ef823348190a8ed68141857e28c completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:19 p.m.