Triple

T13793460
Position Surface form Disambiguated ID Type / Status
Subject The Cool E331455 entity
Predicate producer P490 FINISHED
Object Nikki Jean
Nikki Jean is an American singer-songwriter and pianist best known for her soulful vocals and collaborations with hip-hop artists such as Lupe Fiasco.
 E1061347 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: Nikki Jean | Statement: [The Cool, producer, Nikki Jean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikki Jean
Context triple: [The Cool, producer, Nikki Jean]
  • A. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • B. Nikki
    Nikki is the estranged wife of Pat Solitano in the film "Silver Linings Playbook," whose separation from him drives much of the movie’s emotional conflict.
  • C. Nikki
    Nikki is the central protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back California surfer attitude and exceptional inline skating skills.
  • D. Nikki
    Nikki is the main character of the 1994 platform video game "Pandemonium!", known for her acrobatic abilities and whimsical, magical adventures.
  • E. Nikki
    Nikki is a town in northeastern Benin known as a historic center of the Bariba people and a traditional royal seat.
  • 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: Nikki Jean
Triple: [The Cool, producer, Nikki Jean]
Generated description
Nikki Jean is an American singer-songwriter and pianist best known for her soulful vocals and collaborations with hip-hop artists such as Lupe Fiasco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikki Jean
Target entity description: Nikki Jean is an American singer-songwriter and pianist best known for her soulful vocals and collaborations with hip-hop artists such as Lupe Fiasco.
  • A. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • B. Nikki
    Nikki is the estranged wife of Pat Solitano in the film "Silver Linings Playbook," whose separation from him drives much of the movie’s emotional conflict.
  • C. Nikki
    Nikki is the central protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back California surfer attitude and exceptional inline skating skills.
  • D. Nikki
    Nikki is the main character of the 1994 platform video game "Pandemonium!", known for her acrobatic abilities and whimsical, magical adventures.
  • E. Nikki
    Nikki is a town in northeastern Benin known as a historic center of the Bariba people and a traditional royal seat.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b083387081909c6f4beb0e12cf36 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b20f67048190a641527353e3ff43 completed May 3, 2026, 8:37 p.m.
Created at: April 9, 2026, 10:11 p.m.