Triple

T21748794
Position Surface form Disambiguated ID Type / Status
Subject Claire Denis E536855 entity
Predicate hasWorkedWith P9615 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: [Claire Denis, hasWorkedWith, Robert Pattinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Pattinson
Context triple: [Claire Denis, hasWorkedWith, 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. Armie Hammer
    Armie Hammer is an American actor best known for his breakout dual role as the Winklevoss twins in "The Social Network" and for starring in films such as "Call Me by Your Name."
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a78bd908190b74e26ab1cc8788f completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:50 p.m.