Triple

T16179623
Position Surface form Disambiguated ID Type / Status
Subject MG TF E392651 entity
Predicate designer P184 FINISHED
Object Syd Enever
Syd Enever was a British automotive engineer best known for his influential sports car designs for MG during the mid-20th century.
E1254326 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: Syd Enever | Statement: [MG TF, designer, Syd Enever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syd Enever
Context triple: [MG TF, designer, Syd Enever]
  • A. Jerry Bresler
    Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
  • B. Bob Tzudiker
    Bob Tzudiker is an American screenwriter best known for co-writing Disney animated films such as "Tarzan" and "The Lion King."
  • C. Sidney Buchman
    Sidney Buchman was an American screenwriter and producer best known for his work in Hollywood during the 1930s–1950s, including notable collaborations with major studios and directors.
  • D. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • E. George Lerner
    George Lerner was an American toy inventor best known for creating the iconic Mr. Potato Head character.
  • 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: Syd Enever
Triple: [MG TF, designer, Syd Enever]
Generated description
Syd Enever was a British automotive engineer best known for his influential sports car designs for MG during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Syd Enever
Target entity description: Syd Enever was a British automotive engineer best known for his influential sports car designs for MG during the mid-20th century.
  • A. Jerry Bresler
    Jerry Bresler was an American film producer active in mid-20th-century Hollywood, known for working on large-scale studio productions.
  • B. Bob Tzudiker
    Bob Tzudiker is an American screenwriter best known for co-writing Disney animated films such as "Tarzan" and "The Lion King."
  • C. Sidney Buchman
    Sidney Buchman was an American screenwriter and producer best known for his work in Hollywood during the 1930s–1950s, including notable collaborations with major studios and directors.
  • D. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • E. George Lerner
    George Lerner was an American toy inventor best known for creating the iconic Mr. Potato Head character.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205b88b481908ecdd8d663dc668b completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01481c3084819099e198c408bea464 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a0149a552c88190a4f615f67459a705 completed May 11, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a014a095934819097be0ad099bcde66 completed May 11, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:02 a.m.