Triple

T2682606
Position Surface form Disambiguated ID Type / Status
Subject Nicki Collen E57407 entity
Predicate givenName P17 FINISHED
Object Nicki
Nicki is a professional basketball coach best known for her work in women's basketball, including in the WNBA and NCAA.
 E287382 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: Nicki | Statement: [Nicki Collen, givenName, Nicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicki
Context triple: [Nicki Collen, givenName, Nicki]
  • A. Prince Nicki
    Prince Nicki is a fictional royal character appearing in the animated short film "The Wedding March."
  • B. Nicki Minaj
    Nicki Minaj is a Trinidadian-born American rapper, singer, and songwriter known for her animated flow, alter egos, and major influence on contemporary hip hop and pop music.
  • C. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • D. 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).
  • E. Mya
    Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
  • 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: Nicki
Triple: [Nicki Collen, givenName, Nicki]
Generated description
Nicki is a professional basketball coach best known for her work in women's basketball, including in the WNBA and NCAA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicki
Target entity description: Nicki is a professional basketball coach best known for her work in women's basketball, including in the WNBA and NCAA.
  • A. Prince Nicki
    Prince Nicki is a fictional royal character appearing in the animated short film "The Wedding March."
  • B. Nicki Minaj
    Nicki Minaj is a Trinidadian-born American rapper, singer, and songwriter known for her animated flow, alter egos, and major influence on contemporary hip hop and pop music.
  • C. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • D. 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).
  • E. Mya
    Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d602848190b638e417e710a555 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06c7a908190ae3463bf3e204fa6 completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa1196aac81909b25557dff5acf5e completed March 10, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69afa1a7d9b48190a8b14a7d209e1f26 completed March 10, 2026, 4:44 a.m.
Created at: March 6, 2026, 9:54 p.m.