Triple

T20571326
Position Surface form Disambiguated ID Type / Status
Subject Tony Kubek E505103 entity
Predicate familyName P18 FINISHED
Object Kubek NE NERFINISHED

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: Kubek | Statement: [Tony Kubek, familyName, Kubek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kubek
Context triple: [Tony Kubek, familyName, Kubek]
  • A. Kubek chosen
    Kubek is the surname of Tony Kubek, a former Major League Baseball shortstop and longtime television sportscaster best known for his years with the New York Yankees.
  • B. Kubelík
    Kubelík is a Czech surname most prominently associated with the renowned conductor and composer Rafael Kubelík.
  • C. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • D. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • E. Krychaw
    Krychaw is a town in eastern Belarus known as an industrial and transport center within the Mogilev Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a905b1288190bbad9aa14362bb97 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.