Triple

T13589503
Position Surface form Disambiguated ID Type / Status
Subject Henri Poincaré Prize E324654 entity
Predicate hasNotableRecipient P108 FINISHED
Object Michael Aizenman E440021 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: Michael Aizenman | Statement: [Henri Poincaré Prize, hasNotableRecipient, Michael Aizenman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Aizenman
Context triple: [Henri Poincaré Prize, hasNotableRecipient, Michael Aizenman]
  • A. Michael Aizenman chosen
    Michael Aizenman is a mathematical physicist renowned for his influential work in statistical mechanics, probability theory, and quantum field theory.
  • B. Eric Tannenbaum
    Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
  • C. William Sheinberg
    William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
  • D. Bernard Katzin
    Bernard Katzin was the birth name of American comic actor and singer Stubby Kaye, best known for his roles in classic stage and film musicals such as "Guys and Dolls" and "Li'l Abner."
  • E. Michael S. Chernuchin
    Michael S. Chernuchin is an American television writer and producer best known for his extensive work on the "Law & Order" franchise.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb055cc98819091fab597b69e5e3e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ebeb5ec8190afef40d87c74a8a0 completed May 9, 2026, 5:28 p.m.
Created at: April 9, 2026, 9:49 p.m.