Triple

T5143037
Position Surface form Disambiguated ID Type / Status
Subject McG E116003 entity
Predicate executiveProduced P7374 FINISHED
Object Nikita
Nikita is an American action-thriller television series centered on a rogue assassin seeking to dismantle the secret government organization that trained her.
 E498068 NE FINISHED

How this triple was built (4 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 | Statement: [McG, executiveProduced, Nikita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikita
Context triple: [McG, executiveProduced, Nikita]
  • A. Nikita
    Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
  • B. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • C. Nikita Dragun
    Nikita Dragun is a transgender beauty influencer, YouTuber, and entrepreneur known for her makeup content and cosmetics brand Dragun Beauty.
  • D. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • E. Nikki
    Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nikita
Triple: [McG, executiveProduced, Nikita]
Generated description
Nikita is an American action-thriller television series centered on a rogue assassin seeking to dismantle the secret government organization that trained her.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikita
Target entity description: Nikita is an American action-thriller television series centered on a rogue assassin seeking to dismantle the secret government organization that trained her.
  • A. Nikita
    Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
  • B. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • C. Nikita Dragun
    Nikita Dragun is a transgender beauty influencer, YouTuber, and entrepreneur known for her makeup content and cosmetics brand Dragun Beauty.
  • D. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • E. Nikki
    Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
  • F. None of above. chosen

Provenance (5 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd846dfb908190827fbee5a5ae55e2 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfec5c108190a3882c25118179a7 completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed07c9cd081908f8246e24b2f6458 completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed1013fe88190b76855a042226359 completed March 21, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:43 p.m.