Triple

T633556
Position Surface form Disambiguated ID Type / Status
Subject Holden Commodore E15972 entity
Predicate predecessor P97 FINISHED
Object Holden Kingswood 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 Kingswood | Statement: [Holden Commodore, predecessor, Holden Kingswood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holden Kingswood
Context triple: [Holden Commodore, predecessor, Holden Kingswood]
  • A. 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.
  • B. Raymond Collishaw
    Raymond Collishaw was a Canadian First World War flying ace and one of the highest-scoring fighter pilots of the conflict.
  • C. Benson Ford
    Benson Ford was an American businessman and prominent member of the Ford family who held executive roles at Ford Motor Company in the mid-20th century.
  • D. James Clark
    James Clark is a notable figure in the web and technology community recognized for his significant contributions to open standards and digital publishing.
  • E. John Pitt
    John Pitt was a British politician and member of the influential Pitt family, active in public life during the 18th century.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec3b6488190aa0dce216c089a2e completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5778b82e8819083fbbedb9c3e340e completed March 2, 2026, 11:42 a.m.
Created at: March 1, 2026, 7:35 p.m.