Triple

T16027507
Position Surface form Disambiguated ID Type / Status
Subject Maggie Macfadyen E388754 entity
Predicate mother P120 FINISHED
Object Keeley Hawes NE NERFINISHED

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: Keeley Hawes | Statement: [Maggie Macfadyen, mother, Keeley Hawes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keeley Hawes
Context triple: [Maggie Macfadyen, mother, Keeley Hawes]
  • A. Keeley Hawes chosen
    Keeley Hawes is an English actress known for her versatile roles in television dramas such as "Line of Duty," "Bodyguard," and "Ashes to Ashes."
  • B. Vicky McClure
    Vicky McClure is an English actress best known for her acclaimed roles in the TV series "Line of Duty" and Shane Meadows' "This Is England" films and spin-off shows.
  • C. Caroline Quentin
    Caroline Quentin is an English actress and television presenter best known for her comedic and dramatic roles in popular British series such as "Men Behaving Badly" and "Jonathan Creek."
  • D. Emma Campbell-Jones
    Emma Campbell-Jones is a British actress best known to genre audiences for her role in the Doctor Who universe, including the minisode "The Night of the Doctor."
  • E. Anne-Marie Duff
    Anne-Marie Duff is an acclaimed English actress known for her powerful performances in television dramas such as "Shameless" and "The Virgin Queen," as well as in film and theatre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183294984819080b8727a3511a21b completed April 17, 2026, 12:47 a.m.
Created at: April 10, 2026, 4:56 a.m.