Triple

T22409259
Position Surface form Disambiguated ID Type / Status
Subject The Climb E553955 entity
Predicate musicVideoDirector P4911 FINISHED
Object Matthew Rolston NE NERFINISHED

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: Matthew Rolston | Statement: [The Climb, musicVideoDirector, Matthew Rolston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Rolston
Context triple: [The Climb, musicVideoDirector, Matthew Rolston]
  • A. Matthew Rolston chosen
    Matthew Rolston is an American photographer and director renowned for his stylized celebrity portraiture and visually distinctive music videos.
  • B. Mark Rolston
    Mark Rolston is an American character actor known for his intense roles in films such as Aliens, The Shawshank Redemption, and numerous genre and action movies.
  • C. Matthew Rolph
    Matthew Rolph is an American actor and comedian best known for his marriage to actress and comedian Mary Lynn Rajskub.
  • D. Matt Rollings
    Matt Rollings is an American pianist, producer, and arranger best known for his work in country, jazz, and rock music with artists such as Lyle Lovett and Mark Knopfler.
  • E. Steve Ralston
    Steve Ralston is a former American soccer midfielder best known as a longtime MLS standout and U.S. national team player, particularly with the New England Revolution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158bb9ef88190a773d82ac9ed7a55 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.