Triple

T17740304
Position Surface form Disambiguated ID Type / Status
Subject Morton Minsky E442834 entity
Predicate sibling P363 FINISHED
Object Billy Minsky NE NERFINISHED

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: Billy Minsky | Statement: [Morton Minsky, sibling, Billy Minsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billy Minsky
Context triple: [Morton Minsky, sibling, Billy Minsky]
  • A. Morton Minsky chosen
    Morton Minsky was a member of the Minsky family associated with the famous Minsky's Burlesque theater circuit in early 20th-century New York entertainment.
  • B. Henry Minsky
    Henry Minsky is the son of artificial intelligence pioneer Marvin Minsky and is known as a software engineer and technologist.
  • C. Ralph Manheim
    Ralph Manheim was a prominent American translator renowned for bringing major works of German and French literature, including those of Günter Grass and Louis-Ferdinand Céline, to English-speaking audiences.
  • D. Gerald Schoenfeld
    Gerald Schoenfeld was a prominent American theater producer and longtime chairman of the Shubert Organization who played a major role in revitalizing Broadway.
  • E. Aaron Lansky
    Aaron Lansky is an American cultural activist and author best known for rescuing and preserving Yiddish literature through the creation of a major archive and educational center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acc2610819099451b02bb51891f completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.