Triple

T12043096
Position Surface form Disambiguated ID Type / Status
Subject She Wants Me E286712 entity
Predicate hasCastMember P2308 FINISHED
Object Charlie Bewley E198654 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: Charlie Bewley | Statement: [She Wants Me, hasCastMember, Charlie Bewley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Bewley
Context triple: [She Wants Me, hasCastMember, Charlie Bewley]
  • A. Charlie Bewley chosen
    Charlie Bewley is a British actor best known for his roles in the Twilight film series and various independent films and television dramas.
  • B. Jonathan Brackley
    Jonathan Brackley is a British television writer and producer best known for co-creating and writing the sci-fi drama series "Humans."
  • C. Charlie Adlard
    Charlie Adlard is a British comic book artist best known as the long-running primary artist on Robert Kirkman’s series "The Walking Dead."
  • D. Max Beesley
    Max Beesley is an English actor and musician known for his roles in film and television dramas, as well as his work as a session keyboardist.
  • E. Colin Mawby
    Colin Mawby was a British composer and choral conductor best known for his extensive sacred music output and influential leadership in Catholic liturgical music.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63edddad48190b5b4da184fde27dd completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:47 p.m.