Triple

T17994015
Position Surface form Disambiguated ID Type / Status
Subject Elliott H. Lieb E430452 entity
Predicate notableStudent P4838 FINISHED
Object Michael Aizenman 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: Michael Aizenman | Statement: [Elliott H. Lieb, notableStudent, Michael Aizenman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Aizenman
Context triple: [Elliott H. Lieb, notableStudent, 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. Michael Braverman
    Michael Braverman is a television producer best known for his work as an executive producer on reality and documentary-style TV series.
  • C. 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."
  • D. William Sheinberg
    William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
  • E. Michael Nudelman
    Michael Nudelman was an Israeli politician and Knesset member known for representing Russian-speaking immigrants and serving in several immigrant-focused political parties.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e29490819090ff221e7d7a9ddd completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.