Triple

T2619688
Position Surface form Disambiguated ID Type / Status
Subject Max Zaslofsky E58974 entity
Predicate familyName P18 FINISHED
Object Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
E284003 NE FINISHED

How this triple was built (4 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. 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.
  • B. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • C. Sokolow
    Sokolow is a Jewish surname most notably associated with Nahum Sokolow, a prominent Zionist leader, author, and translator of the late 19th and early 20th centuries.
  • D. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • E. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zaslofsky
Triple: [Max Zaslofsky, familyName, Zaslofsky]
Generated description
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zaslofsky
Target entity description: Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • A. 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.
  • B. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • C. Sokolow
    Sokolow is a Jewish surname most notably associated with Nahum Sokolow, a prominent Zionist leader, author, and translator of the late 19th and early 20th centuries.
  • D. Rothkowitz
    Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
  • E. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • F. None of above. chosen

Provenance (5 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8962b348190a059519778ea4dba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af908ec0cc8190ab8feb8f237eac4b completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af91a3b4588190acfb360dac6e5ce0 completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af920b7fcc8190b5a34c7c626a1c5d completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.