Triple

T11168939
Position Surface form Disambiguated ID Type / Status
Subject 3:10 to Yuma (2007 film) E264225 entity
Predicate starring P1507 FINISHED
Object Dallas Roberts E594728 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: Dallas Roberts | Statement: [3:10 to Yuma (2007 film), starring, Dallas Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas Roberts
Context triple: [3:10 to Yuma (2007 film), starring, Dallas Roberts]
  • A. Dallas Roberts chosen
    Dallas Roberts is an American actor known for his versatile roles in film, television, and theater, including appearances in projects like "Dallas Buyers Club" and the series "The Walking Dead."
  • B. Glenn Roberts
    Glenn Roberts is an American grain expert and founder of Anson Mills, renowned for reviving heirloom Southern grains and rice varieties, including Carolina Gold rice.
  • C. Larry Robinson
    Larry Robinson is an American academic and administrator best known for serving as president of Florida A&M University.
  • D. Larry Robinson
    Larry Robinson is a Hall of Fame Canadian ice hockey defenseman best known for his long, successful career with the Montreal Canadiens and multiple Stanley Cup championships.
  • E. Alan Osbiston
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8952e248190b0751669e8c960b7 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3b0d9d481909c0ed532204e7ffa completed April 19, 2026, 3:24 p.m.
Created at: April 8, 2026, 9:29 p.m.