Triple

T12292957
Position Surface form Disambiguated ID Type / Status
Subject Blake Ritson E293009 entity
Predicate spouse P13 FINISHED
Object Hattie Morahan E741525 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: Hattie Morahan | Statement: [Blake Ritson, spouse, Hattie Morahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hattie Morahan
Context triple: [Blake Ritson, spouse, Hattie Morahan]
  • A. Hattie Morahan chosen
    Hattie Morahan is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and contemporary crime thrillers.
  • B. Rebecca Gleeson
    Rebecca Gleeson is an Australian publicist best known as the wife of actor Eric Bana.
  • C. Oona Laurence
    Oona Laurence is an American actress known for her breakout role in the Broadway production of "Matilda the Musical" and subsequent performances in film and television.
  • D. Rachel Daly
    Rachel Daly is an English professional footballer known for her versatility as both a forward and defender, with a prominent club career in the NWSL and WSL and regular appearances for the England national team.
  • E. Madeleine Harris
    Madeleine Harris is a British actress best known for playing Judy Brown in the family film "Paddington" and its sequel.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d23def88190adbaa282dd03d6c6 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea215a4819090cea3184f3a231c completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:52 p.m.