Triple

T6328733
Position Surface form Disambiguated ID Type / Status
Subject Dragomir Mrsic E141922 entity
Predicate coStarredWith P14987 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: [Dragomir Mrsic, coStarredWith, Emily Blunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Blunt
Context triple: [Dragomir Mrsic, coStarredWith, 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. Gillian Murphy
    Gillian Murphy is a renowned American ballet dancer and longtime principal with American Ballet Theatre, celebrated for her powerful technique and dramatic artistry.
  • D. 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."
  • E. 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."
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0651197908190a30e504e2442d40f completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604154a1c8190b09e74cea2a18624 completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:29 p.m.