Triple

T1518411
Position Surface form Disambiguated ID Type / Status
Subject The Lion King E32171 entity
Predicate mainCharacter P1183 FINISHED
Object 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.
E173777 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: Nala | Statement: [The Lion King, mainCharacter, Nala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nala
Context triple: [The Lion King, mainCharacter, Nala]
  • A. Nene
    Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
  • B. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • C. Mollie
    Mollie is a young girl in Enid Blyton's "The Wishing-Chair" series who, along with her brother Peter, goes on magical adventures using a flying wishing-chair.
  • D. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • E. Arianna the Bear
    Arianna the Bear is a fictional anthropomorphic bear character who resides in the town of Stoolbend in the animated TV series "The Cleveland Show."
  • 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: Nala
Triple: [The Lion King, mainCharacter, Nala]
Generated description
Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nala
Target entity description: Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
  • A. Nene
    Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
  • B. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • C. Mollie
    Mollie is a young girl in Enid Blyton's "The Wishing-Chair" series who, along with her brother Peter, goes on magical adventures using a flying wishing-chair.
  • D. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • E. Arianna the Bear
    Arianna the Bear is a fictional anthropomorphic bear character who resides in the town of Stoolbend in the animated TV series "The Cleveland Show."
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907ed44ac8190953e428c831e24df completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294b16e481908a0b3cf7fd774caa completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad29f4edc48190b78a6df091e289ab completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a78b9608190b70f8d0ae531618d completed March 8, 2026, 7:51 a.m.
Created at: March 4, 2026, 7:26 p.m.