Triple

T7643842
Position Surface form Disambiguated ID Type / Status
Subject Pride Lands E173072 entity
Predicate ruledBy P3022 FINISHED
Object Kiara and Kovu
Kiara and Kovu are the lion king and queen of the Pride Lands in Disney’s The Lion King franchise, uniting formerly rival prides through their leadership and relationship.
E677888 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: Kiara and Kovu | Statement: [Pride Lands, ruledBy, Kiara and Kovu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiara and Kovu
Context triple: [Pride Lands, ruledBy, Kiara and Kovu]
  • A. Nala
    Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
  • B. Nala
    Nala is a legendary king in Hindu mythology, renowned for his righteousness, skill with horses, and central role in the love story of Nala and Damayanti in the Mahabharata.
  • C. Luna the Wolf
    Luna the Wolf is the costumed wolf mascot representing the athletic teams and school spirit of the University of Nevada, Reno.
  • D. Kisha
    "Kisha" is a track from Lil Wayne’s debut studio album "Tha Block Is Hot," showcasing his early Southern hip-hop style.
  • E. Luppi
    Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
  • 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: Kiara and Kovu
Triple: [Pride Lands, ruledBy, Kiara and Kovu]
Generated description
Kiara and Kovu are the lion king and queen of the Pride Lands in Disney’s The Lion King franchise, uniting formerly rival prides through their leadership and relationship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kiara and Kovu
Target entity description: Kiara and Kovu are the lion king and queen of the Pride Lands in Disney’s The Lion King franchise, uniting formerly rival prides through their leadership and relationship.
  • A. Nala
    Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
  • B. Nala
    Nala is a legendary king in Hindu mythology, renowned for his righteousness, skill with horses, and central role in the love story of Nala and Damayanti in the Mahabharata.
  • C. Luna the Wolf
    Luna the Wolf is the costumed wolf mascot representing the athletic teams and school spirit of the University of Nevada, Reno.
  • D. Kisha
    "Kisha" is a track from Lil Wayne’s debut studio album "Tha Block Is Hot," showcasing his early Southern hip-hop style.
  • E. Luppi
    Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d510f08190ad7706f582e8c1a0 completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c87328c2cc81908b9fb89f5fee062e completed March 29, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69c873846a188190a3a1cc56ac247fb0 completed March 29, 2026, 12:34 a.m.
Created at: March 27, 2026, 3:58 p.m.