Triple

T12869554
Position Surface form Disambiguated ID Type / Status
Subject Maps to the Stars E307810 entity
Predicate starring 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: [Maps to the Stars, starring, Robert Pattinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Pattinson
Context triple: [Maps to the Stars, starring, 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. Ed Westwick
    Ed Westwick is an English actor best known for his role as Chuck Bass on the television series "Gossip Girl."
  • C. 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."
  • D. Matthew Reeve
    Matthew Reeve is a British-American filmmaker and activist, known for his documentary work and for continuing the legacy of his father, actor and disability advocate Christopher Reeve.
  • E. Dane DeHaan
    Dane DeHaan is an American actor known for his intense, often offbeat performances in films such as Chronicle, The Amazing Spider-Man 2, and Valerian and the City of a Thousand Planets.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.