Triple

T793998
Position Surface form Disambiguated ID Type / Status
Subject Holden Torana E16977 entity
Predicate manufacturer P490 FINISHED
Object Holden 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 | Statement: [Holden Torana, manufacturer, Holden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holden
Context triple: [Holden Torana, manufacturer, Holden]
  • 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. Dana Brown
    Dana Brown is a Major League Baseball executive best known as the general manager of the Houston Astros, overseeing the club’s player personnel and roster decisions.
  • C. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • D. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • E. Camm
    Camm is a surname most notably associated with Sir Sydney Camm, the influential British aircraft designer behind the Hawker Hurricane.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79b976c819085cd381bbd597ca5 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792892a588190b15b0cb95c431084 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.