Triple

T11248017
Position Surface form Disambiguated ID Type / Status
Subject King Digital Entertainment E266256 entity
Predicate foundedBy P104 FINISHED
Object Toby Rowland E266250 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: Toby Rowland | Statement: [King Digital Entertainment, foundedBy, Toby Rowland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toby Rowland
Context triple: [King Digital Entertainment, foundedBy, Toby Rowland]
  • A. Toby Rowland chosen
    Toby Rowland is a tech entrepreneur best known as a co-founder of the mobile gaming company behind the hit game Candy Crush Saga.
  • B. Toby Stephens
    Toby Stephens is a British actor known for his versatile film, television, and stage roles, including performances in productions such as the James Bond film "Die Another Day" and the TV series "Black Sails."
  • C. Toby Parkes
    Toby Parkes is an actor known for his role in the British dark comedy film "Keeping Mum."
  • D. Toby Wright
    Toby Wright is an American record producer and engineer best known for his work on influential rock and metal albums, including projects with Alice in Chains.
  • E. Toby Irvine
    Toby Irvine is a British actor known for playing the younger version of the main character, Pip, in the 2012 film adaptation of "Great Expectations."
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91d1484819098ee6b2efb5316a5 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3eca6bc8190bc0640353a505ad5 completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:31 p.m.