Triple

T4052158
Position Surface form Disambiguated ID Type / Status
Subject Inferno (film) E84608 entity
Predicate castMember P1668 FINISHED
Object Felicity Jones E103015 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: Felicity Jones | Statement: [Inferno (film), castMember, Felicity Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felicity Jones
Context triple: [Inferno (film), castMember, Felicity Jones]
  • A. Felicity Jones chosen
    Felicity Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
  • B. 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.
  • C. Gemma Arterton
    Gemma Arterton is an English actress known for her roles in films such as "St Trinian's," "Quantum of Solace," and "Prince of Persia: The Sands of Time."
  • D. Jessica Henwick
    Jessica Henwick is a British actress known for her roles in genre franchises such as "Game of Thrones," "Star Wars: The Force Awakens," and various action and science fiction films and series.
  • E. Karen Gillan
    Karen Gillan is a Scottish actress and filmmaker best known for her roles as Nebula in the Marvel Cinematic Universe and Amy Pond in the television series Doctor Who.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb869c34819097ec3bebe402d37b completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55659256081909154569cedd1694a completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.