Triple

T10311542
Position Surface form Disambiguated ID Type / Status
Subject Mamoudou Athie E241901 entity
Predicate name P16 FINISHED
Object Mamoudou Athie E241901 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: Mamoudou Athie | Statement: [Mamoudou Athie, name, Mamoudou Athie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mamoudou Athie
Context triple: [Mamoudou Athie, name, Mamoudou Athie]
  • A. Mamoudou Athie chosen
    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."
  • 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. Madeleine Lesser
    Madeleine Lesser is the wife of British actor Anton Lesser, known for his work in television, film, and theatre.
  • D. Cailee Spaeny
    Cailee Spaeny is an American actress known for her breakout role in the science fiction film "Pacific Rim: Uprising" and subsequent performances in both film and television.
  • E. Nathalie Emmanuel
    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.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e4cdf8881908d613a0cb65fa0c2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:47 a.m.