Triple

T12958749
Position Surface form Disambiguated ID Type / Status
Subject The Resident E310082 entity
Predicate starring P1507 FINISHED
Object Emily VanCamp E235769 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: Emily VanCamp | Statement: [The Resident, starring, Emily VanCamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily VanCamp
Context triple: [The Resident, starring, Emily VanCamp]
  • A. Emily VanCamp chosen
    Emily VanCamp is a Canadian actress best known for her leading role as Emily Thorne/Amanda Clarke on the television drama series "Revenge" and for playing Sharon Carter in the Marvel Cinematic Universe.
  • B. Emily Alyn Lind
    Emily Alyn Lind is an American actress known for her roles in film and television, including playing the young Amanda Clarke on the TV series "Revenge."
  • C. Elisha Cuthbert
    Elisha Cuthbert is a Canadian actress known for her roles in film and television, including prominent parts in series like "24" and various comedy and thriller movies.
  • D. Kirsten Sheridan
    Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
  • E. Melissa Cobb
    Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460999c081908c8d84caf6c04985 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 5:44 p.m.