Triple

T10972981
Position Surface form Disambiguated ID Type / Status
Subject Peter Outerbridge E259290 entity
Predicate characterInWork P12208 FINISHED
Object Ari Tasarov in Nikita E498068 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: Ari Tasarov in Nikita | Statement: [Peter Outerbridge, characterInWork, Ari Tasarov in Nikita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ari Tasarov in Nikita
Context triple: [Peter Outerbridge, characterInWork, Ari Tasarov in Nikita]
  • A. Nikita Dragun
    Nikita Dragun is a transgender beauty influencer, YouTuber, and entrepreneur known for her makeup content and cosmetics brand Dragun Beauty.
  • B. Nikita Anisimov
    Nikita Anisimov is a Russian academic and university administrator who serves as the rector of the National Research University Higher School of Economics (HSE) in Moscow.
  • C. Nikita chosen
    Nikita is an American action-thriller television series centered on a rogue assassin seeking to dismantle the secret government organization that trained her.
  • D. Nikita
    Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
  • E. Nikita Belykh
    Nikita Belykh is a Russian liberal politician best known for leading the Union of Right Forces party and later serving as governor of the Kirov Oblast.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719c16648190ab5a87abb1c61990 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7a0b3dc819084fbda3227caf5b5 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.