Triple

T364551
Position Surface form Disambiguated ID Type / Status
Subject Pixar Animation Studios E7929 entity
Predicate notableWork P4 FINISHED
Object Cars
Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
 E46398 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: Cars | Statement: [Pixar Animation Studios, notableWork, Cars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cars
Context triple: [Pixar Animation Studios, notableWork, Cars]
  • A. Tesla vehicles
    Tesla vehicles are a line of all-electric cars and SUVs produced by Tesla, Inc., known for their long range, high performance, advanced battery technology, and integrated autonomous driving features.
  • B. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • C. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • D. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • E. Tesla Semi
    The Tesla Semi is an all-electric Class 8 semi-truck designed to offer high efficiency, long range, and lower operating costs compared to traditional diesel trucks.
  • 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: Cars
Triple: [Pixar Animation Studios, notableWork, Cars]
Generated description
Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cars
Target entity description: Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
  • A. Tesla vehicles
    Tesla vehicles are a line of all-electric cars and SUVs produced by Tesla, Inc., known for their long range, high performance, advanced battery technology, and integrated autonomous driving features.
  • B. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • C. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • D. Jeep
    Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
  • E. Tesla Semi
    The Tesla Semi is an all-electric Class 8 semi-truck designed to offer high efficiency, long range, and lower operating costs compared to traditional diesel trucks.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebe6c1b4819083335e880c205ed6 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e8668b848190b68d19819ac134df completed March 1, 2026, 7:19 a.m.
NEDg Description generation batch_69a3ea5beecc8190b128db693db39e95 completed March 1, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69a3eba438548190912d5a4a9c0e6528 completed March 1, 2026, 7:32 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.