Triple

T14503659
Position Surface form Disambiguated ID Type / Status
Subject Benjamin Kubelsky E340206 entity
Predicate name P16 FINISHED
Object Benjamin Kubelsky E340206 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: Benjamin Kubelsky | Statement: [Benjamin Kubelsky, name, Benjamin Kubelsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin Kubelsky
Context triple: [Benjamin Kubelsky, name, Benjamin Kubelsky]
  • A. Benjamin Kubelsky chosen
    Benjamin Kubelsky, better known as Jack Benny, was a hugely influential American comedian, vaudevillian, radio and television star renowned for his impeccable timing, stingy persona, and enduring impact on 20th-century entertainment.
  • B. Benjamin Bauer
    Benjamin Bauer is an entrepreneur best known as a co-founder of the online food delivery platform Foodpanda.
  • C. Benjamin Weikel
    Benjamin Weikel is an American drummer and musician best known as a member of the indie rock band The Helio Sequence and for his work with Modest Mouse.
  • D. Benjamin Levin
    Benjamin Levin is a television writer best known for his work on animated series such as "Adventure Time" and "Craig of the Creek."
  • E. Uriel Frisch
    Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90e1778819095f5ac8848120098 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:21 a.m.