Triple

T3127979
Position Surface form Disambiguated ID Type / Status
Subject Kenny G E65342 entity
Predicate familyName P18 FINISHED
Object Gorelick E226946 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: Gorelick | Statement: [Kenny G, familyName, Gorelick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorelick
Context triple: [Kenny G, familyName, Gorelick]
  • A. Gorelick chosen
    Gorelick is a surname most prominently associated with Jamie S. Gorelick, an American lawyer and former U.S. Deputy Attorney General.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • 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. Sokoloff
    Sokoloff is a Russian-origin surname borne by various notable individuals in fields such as music, literature, and politics.
  • E. Finkelstein
    Finkelstein is a Jewish surname of German and Yiddish origin, commonly associated with families of Central and Eastern European descent.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada546a6648190bc4bc3e599e6aa95 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7926248190b8f08e3a626e8eab completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.