Triple

T1518408
Position Surface form Disambiguated ID Type / Status
Subject The Lion King E32171 entity
Predicate mainCharacter P1183 FINISHED
Object Simba
Simba is the lion prince who becomes king in Disney's animated film "The Lion King," known for his journey from guilt-ridden exile to courageous leader.
 E173068 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: Simba | Statement: [The Lion King, mainCharacter, Simba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Simba
Context triple: [The Lion King, mainCharacter, Simba]
  • A. Lion
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • B. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • C. Roary the Panther
    Roary the Panther is the costumed panther mascot representing Florida International University at its athletic events and campus activities.
  • D. Leone
    Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
  • E. Leões
    Leões is the popular nickname for Sporting Clube de Portugal, one of Portugal’s biggest football clubs, symbolizing the team’s lion emblem and fighting spirit.
  • 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: Simba
Triple: [The Lion King, mainCharacter, Simba]
Generated description
Simba is the lion prince who becomes king in Disney's animated film "The Lion King," known for his journey from guilt-ridden exile to courageous leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Simba
Target entity description: Simba is the lion prince who becomes king in Disney's animated film "The Lion King," known for his journey from guilt-ridden exile to courageous leader.
  • A. Lion
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • B. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • C. Roary the Panther
    Roary the Panther is the costumed panther mascot representing Florida International University at its athletic events and campus activities.
  • D. Leone
    Leone is a village on the island of Tutuila in American Samoa, known for its coastal setting and traditional Samoan culture.
  • E. Leões
    Leões is the popular nickname for Sporting Clube de Portugal, one of Portugal’s biggest football clubs, symbolizing the team’s lion emblem and fighting spirit.
  • 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_69ad2346e7b481909c105a969724591d completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23d86d088190bbea03d5d49bc009 completed March 8, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69ad2459c38c8190a8c166c2743a8936 completed March 8, 2026, 7:25 a.m.
Created at: March 4, 2026, 7:26 p.m.