Triple

T3301296
Position Surface form Disambiguated ID Type / Status
Subject Southpaw E69336 entity
Predicate starring P1507 FINISHED
Object Naomie Harris E213973 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: Naomie Harris | Statement: [Southpaw, starring, Naomie Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naomie Harris
Context triple: [Southpaw, starring, Naomie Harris]
  • A. Naomie Harris chosen
    Naomie Harris is a British actress known for her versatile film roles, including portraying Winnie Mandela in "Mandela: Long Walk to Freedom" and Eve Moneypenny in the James Bond franchise.
  • B. Lena Headey
    Lena Headey is an English actress best known for playing Cersei Lannister in the television series "Game of Thrones."
  • C. Michelle Gomez
    Michelle Gomez is a Scottish actress best known for her darkly comedic and villainous roles in television series such as Doctor Who and The Chilling Adventures of Sabrina.
  • D. Helen McCrory
    Helen McCrory was an acclaimed English stage and screen actress known for her powerful performances in works such as "Peaky Blinders," the "Harry Potter" film series, and numerous high-profile theatre productions.
  • E. Rebecca Ferguson
    Rebecca Ferguson is a Swedish actress known for her versatile performances in films such as the Mission: Impossible series, The Greatest Showman, and Dune.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a7d224819080d9a638e08bb8a8 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35458a1248190b11e6756dfc318b7 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:11 p.m.