Triple

T15752838
Position Surface form Disambiguated ID Type / Status
Subject David Levinson E381889 entity
Predicate familyName P18 FINISHED
Object Levinson E565005 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: Levinson | Statement: [David Levinson, familyName, Levinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levinson
Context triple: [David Levinson, familyName, Levinson]
  • A. Levinson chosen
    Levinson is a surname of Jewish and Slavic origin, typically meaning "son of Levin" or "son of Levi."
  • B. Levinstein
    Levinstein is a surname of likely German or Ashkenazi Jewish origin, related etymologically to the name Löwenstein.
  • C. Levitt
    Levitt is the surname of American economist and author Steven Levitt, best known as the co-author of the book "Freakonomics."
  • D. Levenson
    Levenson is a surname most notably associated with American playwright and screenwriter Steven Levenson, known for works such as the musical "Dear Evan Hansen."
  • E. Blumer
    Blumer is the surname of Herbert Blumer, an influential American sociologist known for developing the theory of symbolic interactionism.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876f005c8190913dec49b839b9f9 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.