Triple

T6858653
Position Surface form Disambiguated ID Type / Status
Subject Wiener E158216 entity
Predicate hasNotableBearer P458 FINISHED
Object Leo Wiener E208161 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: Leo Wiener | Statement: [Wiener, hasNotableBearer, Leo Wiener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Wiener
Context triple: [Wiener, hasNotableBearer, Leo Wiener]
  • A. Leo Wiener chosen
    Leo Wiener was a Polish-American linguist and scholar known for his work in Slavic languages and literature, and as the father of mathematician Norbert Wiener.
  • B. Leo Löwenthal
    Leo Löwenthal was a German sociologist and literary critic associated with the Frankfurt School, known for his analyses of mass culture, literature, and the sociology of intellectuals.
  • C. Fritz Bernstein
    Fritz Bernstein was a Zionist economist and Israeli politician who served as a member of Israel’s pre-state legislature and later as Minister of Trade and Industry.
  • D. Victor Kugler
    Victor Kugler was one of the Dutch helpers who risked his life to hide Anne Frank and her family during the Nazi occupation of the Netherlands.
  • E. Arthur Simon Flegenheimer
    Arthur Simon Flegenheimer, better known as Dutch Schultz, was a notorious New York City mobster and bootlegger during the Prohibition era.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8720bd48190adb446130a03d2bf completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748b977948190b60a85b93d61794a completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:21 p.m.