Triple

T11898338
Position Surface form Disambiguated ID Type / Status
Subject My Policeman E283089 entity
Predicate portrays P264 FINISHED
Object Emma Corrin as young Marion Taylor E740233 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: Emma Corrin as young Marion Taylor | Statement: [My Policeman, portrays, Emma Corrin as young Marion Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Corrin as young Marion Taylor
Context triple: [My Policeman, portrays, Emma Corrin as young Marion Taylor]
  • A. Emma Corrin chosen
    Emma Corrin is an English actor best known for their acclaimed portrayal of Princess Diana in the television series "The Crown."
  • B. Tamsin Wilton
    Tamsin Wilton was a British academic, writer, and pioneering lesbian feminist theorist known for her influential work on sexuality, gender, and queer studies.
  • C. Emilia Jones
    Emilia Jones is a British actress and singer best known for her acclaimed lead performance in the Oscar-winning film "CODA."
  • D. Margot Tennant
    Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
  • E. Lily Houghton
    Lily Houghton is a fictional, adventurous British botanist and explorer from the film "Jungle Cruise."
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd13cc10819089d8d5103e562924 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418205b788190a4b1b81d89cf7fff completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.