Triple

T15385668
Position Surface form Disambiguated ID Type / Status
Subject Red, White and Blue E367909 entity
Predicate star P23405 FINISHED
Object Neil Maskell E385925 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: Neil Maskell | Statement: [Red, White and Blue, star, Neil Maskell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Maskell
Context triple: [Red, White and Blue, star, Neil Maskell]
  • A. Neil Maskell chosen
    Neil Maskell is a British actor known for his intense performances in film and television, including prominent roles in crime dramas and psychological thrillers.
  • B. Matt Robson-Scott
    Matt Robson-Scott is a British electronic music producer and DJ best known as one half of the house duo Gorgon City.
  • C. Jason Kingsley
    Jason Kingsley is a British entrepreneur and game developer best known as the co-founder and CEO of the video game studio Rebellion Developments.
  • D. Ian Harwood
    Ian Harwood is a notable individual distinguished enough in his field or public life to be specifically recognized as a prominent bearer of the surname Harwood.
  • E. Shaun Parkes
    Shaun Parkes is a British actor known for his versatile performances in film, television, and theatre, including prominent roles in series such as "Casanova," "Doctor Who," and "Small Axe."
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e74ff70819094c1a85f51d6e228 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9085d388819092be2fd8a0268e23 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 3:19 a.m.