Triple

T2124635
Position Surface form Disambiguated ID Type / Status
Subject Cars E46398 entity
Predicate mainCharacter P1183 FINISHED
Object Mater
Mater is the lovable, rusty tow truck from Pixar's Cars franchise, known for his goofy personality, loyalty to Lightning McQueen, and comic relief.
 E236509 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: Mater | Statement: [Cars, mainCharacter, Mater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mater
Context triple: [Cars, mainCharacter, Mater]
  • A. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • B. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • C. Stella
    Stella is an American comedy trio and sketch group best known for its absurdist humor and for featuring comedians Michael Ian Black, Michael Showalter, and David Wain.
  • D. Stella
    Stella is a key character in Guy Ritchie's crime film "RocknRolla," known as a sharp, stylish accountant entangled in the London underworld.
  • E. Stella
    Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
  • 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: Mater
Triple: [Cars, mainCharacter, Mater]
Generated description
Mater is the lovable, rusty tow truck from Pixar's Cars franchise, known for his goofy personality, loyalty to Lightning McQueen, and comic relief.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mater
Target entity description: Mater is the lovable, rusty tow truck from Pixar's Cars franchise, known for his goofy personality, loyalty to Lightning McQueen, and comic relief.
  • A. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • B. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • C. Stella
    Stella is a key character in Guy Ritchie's crime film "RocknRolla," known as a sharp, stylish accountant entangled in the London underworld.
  • D. Stella
    Stella is an American comedy trio and sketch group best known for its absurdist humor and for featuring comedians Michael Ian Black, Michael Showalter, and David Wain.
  • E. Stella
    Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae519bfdb08190a7b715fbc5fd3f41 completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae521c7810819086b88bb5f062597e completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae52e79c788190bbe6eb5baba08a71 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.