Triple

T22802935
Position Surface form Disambiguated ID Type / Status
Subject The World’s Greatest Athlete E564448 entity
Predicate mainCharacter P1183 FINISHED
Object Nanu
Nanu is the bumbling yet athletically gifted jungle-raised hero at the center of the 1973 Disney comedy film "The World’s Greatest Athlete."
 E1555748 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: Nanu | Statement: [The World’s Greatest Athlete, mainCharacter, Nanu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanu
Context triple: [The World’s Greatest Athlete, mainCharacter, Nanu]
  • A. Nanu
    Nanu is the gruff, laid-back police officer and Dark-type specialist who serves as the Island Kahuna of Ula'ula Island in the Pokémon Sun and Moon games.
  • B. Nan
    Nan is a spirited, independent young woman in Louisa May Alcott’s novel "Jo’s Boys," known for challenging traditional gender roles and pursuing a medical career.
  • C. Nan
    Nan is a small historic city in northern Thailand known for its tranquil atmosphere, traditional Lanna culture, and ornate Buddhist temples.
  • D. Nan
    Nan is the commonly used short form of the Scottish writer and poet Nan Shepherd’s name.
  • E. Nanabhoy
    Nanabhoy is the given name of Nanabhoy Palkhivala, a renowned Indian jurist, constitutional expert, and economist.
  • 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: Nanu
Triple: [The World’s Greatest Athlete, mainCharacter, Nanu]
Generated description
Nanu is the bumbling yet athletically gifted jungle-raised hero at the center of the 1973 Disney comedy film "The World’s Greatest Athlete."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nanu
Target entity description: Nanu is the bumbling yet athletically gifted jungle-raised hero at the center of the 1973 Disney comedy film "The World’s Greatest Athlete."
  • A. Nanu
    Nanu is the gruff, laid-back police officer and Dark-type specialist who serves as the Island Kahuna of Ula'ula Island in the Pokémon Sun and Moon games.
  • B. Nan
    Nan is a small historic city in northern Thailand known for its tranquil atmosphere, traditional Lanna culture, and ornate Buddhist temples.
  • C. Nan
    Nan is a spirited, independent young woman in Louisa May Alcott’s novel "Jo’s Boys," known for challenging traditional gender roles and pursuing a medical career.
  • D. Nan
    Nan is the commonly used short form of the Scottish writer and poet Nan Shepherd’s name.
  • E. Nanabhoy
    Nanabhoy is the given name of Nanabhoy Palkhivala, a renowned Indian jurist, constitutional expert, and economist.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9b35e08190a3ad478355279253 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba2386bf88190911fe2cd9870023a completed May 18, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba2bae9888190a8d115579643695b completed May 18, 2026, 11:37 p.m.
Created at: April 17, 2026, 3:31 p.m.