Triple

T5881610
Position Surface form Disambiguated ID Type / Status
Subject Ward No. 6 E130760 entity
Predicate character P662 FINISHED
Object Nikita the warder E83420 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: Nikita the warder | Statement: [Ward No. 6, character, Nikita the warder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikita the warder
Context triple: [Ward No. 6, character, Nikita the warder]
  • A. Nikita chosen
    Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
  • B. Nikita
    Nikita is an American action-thriller television series centered on a rogue assassin seeking to dismantle the secret government organization that trained her.
  • C. Krimzon Guard
    The Krimzon Guard is the authoritarian military police force in the Jak and Daxter video game series, known for enforcing Baron Praxis’s oppressive rule over Haven City.
  • D. Warden
    The Warden is the principal academic and administrative head of Merton College, Oxford, responsible for its overall leadership and governance.
  • E. Warden
    Warden is a small coastal village on the Isle of Sheppey in Kent, England, known for its eroding cliffs and seaside location.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03635a41c819086f9a5df242777f2 completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13330c88190b10f33843f10f51f completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.