Triple

T9753928
Position Surface form Disambiguated ID Type / Status
Subject Lightning McQueen E236507 entity
Predicate sponsor P67 FINISHED
Object Rust-eze
Rust-eze is a fictional medicated bumper ointment company in the Cars film franchise that serves as Lightning McQueen’s primary sponsor.
E818965 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: Rust-eze | Statement: [Lightning McQueen, sponsor, Rust-eze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rust-eze
Context triple: [Lightning McQueen, sponsor, Rust-eze]
  • A. Rusty
    Rusty is the often hapless but good-hearted son in the National Lampoon's Vacation film series, portrayed by several different actors across the movies.
  • B. Rusty
    Rusty is a recurring character in the children's animated series "Bluey," known as a red kelpie pup who often appears as Bluey and Bingo's imaginative, adventurous friend.
  • C. Rust
    Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
  • D. Rust
    Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
  • E. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • 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: Rust-eze
Triple: [Lightning McQueen, sponsor, Rust-eze]
Generated description
Rust-eze is a fictional medicated bumper ointment company in the Cars film franchise that serves as Lightning McQueen’s primary sponsor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rust-eze
Target entity description: Rust-eze is a fictional medicated bumper ointment company in the Cars film franchise that serves as Lightning McQueen’s primary sponsor.
  • A. Rusty
    Rusty is the often hapless but good-hearted son in the National Lampoon's Vacation film series, portrayed by several different actors across the movies.
  • B. Rusty
    Rusty is a recurring character in the children's animated series "Bluey," known as a red kelpie pup who often appears as Bluey and Bingo's imaginative, adventurous friend.
  • C. Rust
    Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
  • D. Rust
    Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
  • E. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b0288b808190821287a2cc54025d completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b243b2d48190b4e57871dca3f38f completed April 5, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69d1b2e335e48190b8d45097fd686c55 completed April 5, 2026, 12:54 a.m.
Created at: March 30, 2026, 8:24 p.m.