Triple

T1108220
Position Surface form Disambiguated ID Type / Status
Subject Salmon Fishing in the Yemen E25533 entity
Predicate leadActress P6108 FINISHED
Object Emily Blunt E4055 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: Emily Blunt | Statement: [Salmon Fishing in the Yemen, leadActress, Emily Blunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Blunt
Context triple: [Salmon Fishing in the Yemen, leadActress, Emily Blunt]
  • A. Emily Blunt chosen
    Emily Blunt is a British actress known for her versatile performances in films such as "The Devil Wears Prada," "Edge of Tomorrow," "A Quiet Place," and "Mary Poppins Returns."
  • B. Jessica Chastain
    Jessica Chastain is an acclaimed American actress known for her versatile performances in films such as "Zero Dark Thirty," "The Help," and "Molly's Game."
  • C. Keira Knightley
    Keira Knightley is an English actress known for her roles in period dramas and major film franchises such as "Pirates of the Caribbean" and "Pride & Prejudice."
  • D. Alicia Vikander
    Alicia Vikander is a Swedish actress known for her acclaimed performances in films such as "Ex Machina," "The Danish Girl," and "Tomb Raider."
  • E. Amy Adams
    Amy Adams is an acclaimed American actress known for her versatility in both comedic and dramatic roles, including performances in films such as "Enchanted," "American Hustle," and "Arrival."
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e5bc6348190a0d23fe269707e1b completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:43 p.m.