Triple

T11934515
Position Surface form Disambiguated ID Type / Status
Subject Zaslofsky E284003 entity
Predicate hasNotableBearer P458 FINISHED
Object Max Zaslofsky E58974 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: Max Zaslofsky | Statement: [Zaslofsky, hasNotableBearer, Max Zaslofsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Zaslofsky
Context triple: [Zaslofsky, hasNotableBearer, Max Zaslofsky]
  • A. Max Zaslofsky chosen
    Max Zaslofsky was an American professional basketball player and coach, best known as one of the NBA’s early scoring stars and later a coach in the league.
  • B. Max Eitingon
    Max Eitingon was a German-Jewish psychoanalyst and close associate of Sigmund Freud, known for helping institutionalize psychoanalytic training and practice in Europe and the Middle East.
  • C. Edward Zorinsky
    Edward Zorinsky was a U.S. Senator from Nebraska and former mayor of Omaha known for his moderate Democratic politics and service in the late 20th century.
  • D. Louis Bakanowsky
    Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
  • E. Adolf Zeligson
    Adolf Zeligson was a Polish architect best known for designing prominent buildings in Łódź during the late 19th and early 20th centuries.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90306fcf48190a963d2d1932288d1 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b7e6f0c8190b9df17f969df0deb completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:45 p.m.