Triple

T9228287
Position Surface form Disambiguated ID Type / Status
Subject Margaret Minsky E221745 entity
Predicate hasSibling P363 FINISHED
Object Henry Minsky E149628 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: Henry Minsky | Statement: [Margaret Minsky, hasSibling, Henry Minsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Minsky
Context triple: [Margaret Minsky, hasSibling, Henry Minsky]
  • A. Henry Minsky chosen
    Henry Minsky is the son of artificial intelligence pioneer Marvin Minsky and is known as a software engineer and technologist.
  • B. Morton Minsky
    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.
  • C. Charles Minsky
    Charles Minsky is an American cinematographer known for his work on numerous Hollywood films, particularly romantic comedies.
  • D. Herman Lubinsky
    Herman Lubinsky was an American record executive and entrepreneur best known as the controversial founder and head of the influential jazz and R&B label Savoy Records.
  • E. Morton Schiff
    Morton Schiff was a notable individual bearing the Schiff surname, likely recognized for his contributions or prominence within the Schiff family lineage.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccdaa0a7608190b10d913e5e3d1b3e completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0665cd43481908287b6d4858d63a1 completed April 4, 2026, 1:16 a.m.
Created at: March 30, 2026, 7:29 p.m.