Triple

T1003196
Position Surface form Disambiguated ID Type / Status
Subject Chicago Stags E21648 entity
Predicate notablePlayer P304 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: [Chicago Stags, notablePlayer, Max Zaslofsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Zaslofsky
Context triple: [Chicago Stags, notablePlayer, 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. Louis Bakanowsky
    Louis Bakanowsky was an American architect best known as a founding partner of the influential design firm Cambridge Seven Associates.
  • C. Zacharias Finkelstein
    Zacharias Finkelstein was the father of American political scientist and Holocaust scholar Norman Finkelstein.
  • D. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • E. Myron Futterman
    Myron Futterman was an American businessman best known for being the first husband of actress Jane Wyman.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fe0a548190aee8abf1890e141e completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae30355a548190af3f858170b9b82c completed March 9, 2026, 2:28 a.m.
Created at: March 1, 2026, 7:41 p.m.