Triple

T11934519
Position Surface form Disambiguated ID Type / Status
Subject Max Zaslofsky E284003 entity
Predicate familyName P18 FINISHED
Object Zaslofsky E284003 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: Zaslofsky | Statement: [Max Zaslofsky, familyName, Zaslofsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaslofsky
Context triple: [Max Zaslofsky, familyName, Zaslofsky]
  • A. Zaslofsky chosen
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • B. Stoloff
    Stoloff is a surname most notably associated with Morris Stoloff, an American musical director and composer prominent in Hollywood film music.
  • C. Zaretsky
    Zaretsky is a minor character in Alexander Pushkin’s verse novel "Eugene Onegin," known primarily as the experienced and somewhat cynical second in the duel between Onegin and Lensky.
  • D. Zylberman
    Zylberman is a surname of likely Ashkenazi Jewish origin borne by individuals such as Bathsheba Zylberman.
  • E. Zaleski
    Zaleski is a Polish surname most notably borne by August Zaleski, a prominent Polish diplomat and statesman who served as President of Poland in exile.
  • 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_69f4407cc2388190b0f849fbeed89ab7 completed May 1, 2026, 5:56 a.m.
Created at: April 8, 2026, 9:45 p.m.