Triple

T3831677
Position Surface form Disambiguated ID Type / Status
Subject HSV Coupé E91026 entity
Predicate designer P184 FINISHED
Object Holden design team E2747 NE FINISHED

How this triple was built (2 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: Holden design team | Statement: [HSV Coupé, designer, Holden design team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holden design team
Context triple: [HSV Coupé, designer, Holden design team]
  • A. Crown design team
    Crown design team is the in-house book cover and visual design group at Crown Publishing responsible for creating cover art and related graphics for its titles.
  • B. Holden chosen
    Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
  • C. Holden
    Holden is a small town in central Utah, United States, known for its rural character and proximity to Interstate 15.
  • D. Holden
    Holden is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
  • E. Ford Special Vehicle Team
    Ford Special Vehicle Team was Ford Motor Company's in-house performance division responsible for developing high-performance, limited-production vehicles and performance parts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8787bc8190819a7af975b609df completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503fcddb481909690b708754d3d8a completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.