Triple

T22022140
Position Surface form Disambiguated ID Type / Status
Subject Boris Pavlikovsky E543870 entity
Predicate meetsCharacterInContext P110084 FINISHED
Object Las Vegas NE NERFINISHED

How this triple was built (3 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: Las Vegas | Statement: [Boris Pavlikovsky, meetsCharacterInContext, Las Vegas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Vegas
Context triple: [Boris Pavlikovsky, meetsCharacterInContext, Las Vegas]
  • A. Bas Vegas
    Bas Vegas is a tongue-in-cheek nickname for the Essex town of Basildon, referencing its lively nightlife and entertainment venues in comparison to Las Vegas.
  • B. Vegas
    Vegas is an American television crime drama series set in 1960s Las Vegas, starring Michael Chiklis alongside Dennis Quaid.
  • C. Vegas
    Vegas is a Swedish video lottery terminal brand operated by the state-owned gambling company Svenska Spel, commonly found in bars, restaurants, and gaming venues across Sweden.
  • D. Las Vegas, Nevada chosen
    Las Vegas, Nevada is a major resort city in the Mojave Desert known for its vibrant nightlife, casinos, entertainment, and luxury hotels.
  • E. Reno
    Reno is a small city located in Parker County in the U.S. state of Texas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: meetsCharacterInContext
Context triple: [Boris Pavlikovsky, meetsCharacterInContext, Las Vegas]
  • A. hasCharacterContext chosen
    Indicates that a character is associated with or participates in a particular contextual situation, setting, or state.
  • B. appearsInContextWith
    Indicates that two entities are observed or used together within the same situational, textual, or usage context.
  • C. containsCharacter
    Indicates that one entity includes a specific character as part of its content or composition.
  • D. containsCharacterAction
    Indicates that an entity includes or features an action performed by a character within it.
  • E. characterCorrespondsTo
    Indicates that one character is equivalent to, maps onto, or represents another character in a defined correspondence or mapping.
  • F. None of above.

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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c8ac6881909a9e96e0873a3ae2 completed April 28, 2026, 9:34 p.m.
PD Predicate disambiguation batch_69e6f63b0d048190b241622759aab9de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:23 p.m.