Triple

T19194703
Position Surface form Disambiguated ID Type / Status
Subject Michael Levitt E469936 entity
Predicate familyName P18 FINISHED
Object Levitt 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: Levitt | Statement: [Michael Levitt, familyName, Levitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levitt
Context triple: [Michael Levitt, familyName, Levitt]
  • A. Levitt chosen
    Levitt is the surname of American economist and author Steven Levitt, best known as the co-author of the book "Freakonomics."
  • B. Levy
    Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
  • C. Levine
    Levine is a common Jewish surname of Hebrew origin, often associated with descendants of the Levitical priestly class.
  • D. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • E. Logevall
    Logevall is the surname of Fredrik Logevall, a prominent historian known for his work on the Vietnam War and American foreign policy.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a4d6b4819083fc5dd4dab05811 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.