Triple

T7049376
Position Surface form Disambiguated ID Type / Status
Subject Two for the Road E163725 entity
Predicate editor P1954 FINISHED
Object Richard Marden E214557 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: Richard Marden | Statement: [Two for the Road, editor, Richard Marden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Marden
Context triple: [Two for the Road, editor, Richard Marden]
  • A. Richard Marden chosen
    Richard Marden was a British film editor known for his work on notable mid-20th-century films, including adaptations of classic literature.
  • B. Scott Arfield
    Scott Arfield is a professional footballer, best known as a midfielder who represented the Canadian national team after previously playing for Scotland at youth level and having a long club career in Scotland and England.
  • C. Colin Watkinson
    Colin Watkinson is a British cinematographer best known for his visually striking work on films and television series such as The Fall and The Handmaid's Tale.
  • D. Anthony Snodgrass
    Anthony Snodgrass is a British classical archaeologist renowned for his influential work on early Greek archaeology and the development of the Greek polis.
  • E. John Ales
    John Ales is an American actor known for his character roles in film and television, including a notable appearance in the comedy film "The Nutty Professor" (1996).
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e24d5e8c8190b37e56107e6da8ab completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7888bba9c8190b6414b56e5588ec0 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.