Triple

T18261567
Position Surface form Disambiguated ID Type / Status
Subject Empire Hero Award E437368 entity
Predicate notableRecipient P108 FINISHED
Object Hayley Atwell 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: Hayley Atwell | Statement: [Empire Hero Award, notableRecipient, Hayley Atwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayley Atwell
Context triple: [Empire Hero Award, notableRecipient, Hayley Atwell]
  • A. Hayley Atwell chosen
    Hayley Atwell is a British-American actress best known for portraying Peggy Carter in the Marvel Cinematic Universe.
  • B. Elizabeth Olsen
    Elizabeth Olsen is an American actress best known for portraying Wanda Maximoff / Scarlet Witch in the Marvel Cinematic Universe.
  • C. Tessa Thompson
    Tessa Thompson is an American actress known for her versatile performances in film and television, including prominent roles in projects like "Creed," "Thor: Ragnarok," and "Westworld."
  • D. Jessica Raine
    Jessica Raine is a British actress best known for her television work, including prominent roles in series such as "Call the Midwife" and various high-profile dramas.
  • E. Scarlett Johansson
    Scarlett Johansson is an American actress known for her versatile film roles, including major parts in the Marvel Cinematic Universe and acclaimed performances in both independent and blockbuster movies.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff76a1208190abbe6ab8720ed154 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.