Triple

T23487757
Position Surface form Disambiguated ID Type / Status
Subject Jacob Jankowski E570582 entity
Predicate portrayedInFilmBy P9616 FINISHED
Object Robert Pattinson 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: Robert Pattinson | Statement: [Jacob Jankowski, portrayedInFilmBy, Robert Pattinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Pattinson
Context triple: [Jacob Jankowski, portrayedInFilmBy, Robert Pattinson]
  • A. Robert Pattinson chosen
    Robert Pattinson is an English actor best known for his roles as vampire Edward Cullen in the Twilight film series and as the title character in the 2022 superhero film "The Batman."
  • B. Les Pattinson
    Les Pattinson is an English bassist best known as a founding member of the post-punk band Echo & the Bunnymen.
  • C. Charlie Pattinson
    Charlie Pattinson is a British television producer known for his work on high-profile drama series, including serving as an executive producer on the true-crime drama "White House Farm."
  • D. Ed Westwick
    Ed Westwick is an English actor best known for his role as Chuck Bass on the television series "Gossip Girl."
  • E. Christopher Reitz
    Christopher Reitz is a German former field hockey goalkeeper who competed internationally, including at the Olympic Games.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7d9cc08819084c532b069f867ee completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:04 p.m.