Triple

T12009041
Position Surface form Disambiguated ID Type / Status
Subject Johnny Vegas E285857 entity
Predicate name P16 FINISHED
Object Johnny Vegas E285857 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: Johnny Vegas | Statement: [Johnny Vegas, name, Johnny Vegas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Vegas
Context triple: [Johnny Vegas, name, Johnny Vegas]
  • A. Johnny Vegas chosen
    Johnny Vegas is an English comedian and actor known for his stand-up comedy, distinctive gravelly voice, and roles in British television and film.
  • B. Mr. Vegas
    Mr. Vegas is a Jamaican dancehall and reggae singer known for hits like "Heads High" and "Hot Wuk" and for his energetic, melodic deejay style.
  • C. Mr. Las Vegas
    Mr. Las Vegas is the famous nickname of American singer and entertainer Wayne Newton, renowned for his long-running headliner performances in Las Vegas.
  • D. Johnny Lovo
    Johnny Lovo is a crime boss character in the 1932 gangster film "Scarface," serving as an early mentor and rival to the ambitious protagonist Tony Camonte.
  • E. Mad Baron
    Mad Baron is the notorious nickname of Roman von Ungern-Sternberg, a fanatical White Russian warlord known for his extreme brutality and eccentric mysticism during the Russian Civil War and Mongolian campaigns.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b24f0c481909afd288d4f57d3b6 completed May 1, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:46 p.m.