Triple

T2926710
Position Surface form Disambiguated ID Type / Status
Subject Paddington 2 E78861 entity
Predicate writer P1360 FINISHED
Object Paul King E311062 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: Paul King | Statement: [Paddington 2, writer, Paul King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul King
Context triple: [Paddington 2, writer, Paul King]
  • A. Paul King chosen
    Paul King is a British filmmaker and screenwriter best known for directing the critically acclaimed Paddington films.
  • B. Phil Lord
    Phil Lord is an American filmmaker, writer, and producer best known for his inventive, comedic work on projects like The Lego Movie and the 21 Jump Street and Spider-Verse films.
  • C. Michael Arndt
    Michael Arndt is an Academy Award–winning American screenwriter known for acclaimed films such as Little Miss Sunshine and Toy Story 3.
  • D. Jordan Vogt-Roberts
    Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
  • E. Peter Hedges
    Peter Hedges is an American novelist, playwright, and filmmaker best known for writing the novel and screenplay for "What's Eating Gilbert Grape" and directing films such as "Pieces of April" and "Dan in Real Life."
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c1e9c08190bcec80bc3262697a completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc632afc819098021312c748346b completed March 11, 2026, 5:23 a.m.
Created at: March 8, 2026, 2:55 p.m.