Triple

T504912
Position Surface form Disambiguated ID Type / Status
Subject Cinderella (1950 film) E10482 entity
Predicate mainCharacter P1183 FINISHED
Object Jaq
Jaq is one of Cinderella’s loyal mouse friends in Disney’s 1950 animated film, known for his bravery, resourcefulness, and comic personality.
E62937 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: Jaq | Statement: [Cinderella (1950 film), mainCharacter, Jaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaq
Context triple: [Cinderella (1950 film), mainCharacter, Jaq]
  • A. Killian
    Killian is a surname most notably associated with James R. Killian Jr., an influential American engineer and former president of the Massachusetts Institute of Technology.
  • B. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • C. Ajah
    Ajah is a rapidly developing residential and commercial suburb located in the Lekki axis of Lagos, Nigeria.
  • D. Garth
    Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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: Jaq
Triple: [Cinderella (1950 film), mainCharacter, Jaq]
Generated description
Jaq is one of Cinderella’s loyal mouse friends in Disney’s 1950 animated film, known for his bravery, resourcefulness, and comic personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaq
Target entity description: Jaq is one of Cinderella’s loyal mouse friends in Disney’s 1950 animated film, known for his bravery, resourcefulness, and comic personality.
  • A. Killian
    Killian is a surname most notably associated with James R. Killian Jr., an influential American engineer and former president of the Massachusetts Institute of Technology.
  • B. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • C. Ajah
    Ajah is a rapidly developing residential and commercial suburb located in the Lekki axis of Lagos, Nigeria.
  • D. Garth
    Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
  • E. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f149bd1c81908ff58ac504ace2bf completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48a7b71848190ab3e69fc84779301 completed March 1, 2026, 6:50 p.m.
NEDg Description generation batch_69a48c1329f0819093fa4eb579075243 completed March 1, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69a48c688fcc81909d79068875b89aee completed March 1, 2026, 6:58 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.