Triple

T11236872
Position Surface form Disambiguated ID Type / Status
Subject The Take E265961 entity
Predicate starredActor P5563 FINISHED
Object Charlotte Riley E173400 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: Charlotte Riley | Statement: [The Take, starredActor, Charlotte Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Riley
Context triple: [The Take, starredActor, Charlotte Riley]
  • A. Charlotte Riley chosen
    Charlotte Riley is an English actress known for her roles in film and television, including appearances in major productions such as "Edge of Tomorrow" and the TV series "Peaky Blinders."
  • B. Melanie Reeve
    Melanie Reeve is the wife of American filmmaker Matt Reeves, known for her long-term partnership with the director behind films like Cloverfield and The Batman.
  • C. Rebecca Caine
    Rebecca Caine is a Canadian soprano and musical theatre actress best known for her work in productions such as Les Misérables and The Phantom of the Opera.
  • D. Lissa Evans
    Lissa Evans is a British author and former television director and producer, known for her witty, character-driven novels for both adults and children.
  • E. Sarah Morgan
    Sarah Morgan is a British comedy writer and performer known for her work on BBC Radio 4’s satirical sketch show "The Now Show."
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509ea915481909c41a4a89ae6ee80 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:30 p.m.