Triple

T13933321
Position Surface form Disambiguated ID Type / Status
Subject Die Hart E335045 entity
Predicate notableCastMember P7010 FINISHED
Object Nathalie Emmanuel E244687 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: Nathalie Emmanuel | Statement: [Die Hart, notableCastMember, Nathalie Emmanuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathalie Emmanuel
Context triple: [Die Hart, notableCastMember, Nathalie Emmanuel]
  • A. Nathalie Emmanuel chosen
    Nathalie Emmanuel is a British actress best known for her roles as Missandei in "Game of Thrones" and Ramsey in the "Fast & Furious" film franchise.
  • B. Samira Wiley
    Samira Wiley is an American actress best known for her acclaimed role on the Netflix series "Orange Is the New Black" and her work on "The Handmaid's Tale."
  • C. Lauren Cohan
    Lauren Cohan is an American-British actress best known for playing Maggie Greene on the television series "The Walking Dead."
  • D. Mamoudou Athie
    Mamoudou Athie is a Mauritanian-American actor known for his roles in films like "The Front Runner" and "Unicorn Store" and the TV series "Sorry for Your Loss" and "Archive 81."
  • E. Alexandra Reeve
    Alexandra Reeve is the daughter of late actor and activist Christopher Reeve, known for her work in disability advocacy and public health.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf28df081908d897d7b9ec7939d completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cfd550c81909ad487d3d7d7c313 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 10:17 p.m.