Triple

T15311550
Position Surface form Disambiguated ID Type / Status
Subject The Boy (2016 film) E366049 entity
Predicate castMember P1668 FINISHED
Object Lauren Cohan E188175 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: Lauren Cohan | Statement: [The Boy (2016 film), castMember, Lauren Cohan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Cohan
Context triple: [The Boy (2016 film), castMember, Lauren Cohan]
  • A. Lauren Cohan chosen
    Lauren Cohan is an American-British actress best known for playing Maggie Greene on the television series "The Walking Dead."
  • B. Alexandra Reeve
    Alexandra Reeve is the daughter of late actor and activist Christopher Reeve, known for her work in disability advocacy and public health.
  • 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. Samira Wiley
    Samira Wiley is an American actress best known for her acclaimed role on the Netflix series "Orange Is the New Black" and her work on "The Handmaid's Tale."
  • E. 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."
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e70a308190a7d6b91178c39bd3 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.