Triple

T3290426
Position Surface form Disambiguated ID Type / Status
Subject Edward Cullen E69086 entity
Predicate portrayedBy P1507 FINISHED
Object Robert Pattinson E71290 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: Robert Pattinson | Statement: [Edward Cullen, portrayedBy, Robert Pattinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Pattinson
Context triple: [Edward Cullen, portrayedBy, 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. 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."
  • C. James McAvoy
    James McAvoy is a Scottish actor known for his versatile performances in films such as the X-Men series, Atonement, and Split.
  • D. Dominic Cooper
    Dominic Cooper is an English actor known for his roles in films such as "Mamma Mia!" and "The Devil's Double," as well as the TV series "Preacher."
  • E. Ansel Elgort
    Ansel Elgort is an American actor and musician best known for his roles in films such as "The Fault in Our Stars," the "Divergent" series, and "Baby Driver."
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05bd6b08190bcb9f0e5da82bc21 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3cfec98819094208d2cb6e459ea completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.