Triple

T2352307
Position Surface form Disambiguated ID Type / Status
Subject Hamlet (1996 film) E47475 entity
Predicate director P255 FINISHED
Object Kenneth Branagh E8608 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: Kenneth Branagh | Statement: [Hamlet (1996 film), director, Kenneth Branagh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenneth Branagh
Context triple: [Hamlet (1996 film), director, Kenneth Branagh]
  • A. Kenneth Branagh chosen
    Kenneth Branagh is a Northern Irish actor and filmmaker renowned for his Shakespeare adaptations and acclaimed performances in both stage and screen productions.
  • B. Mark Fiennes
    Mark Fiennes was an English photographer and illustrator, best known as the father of actors Ralph and Joseph Fiennes.
  • C. James Sheridan
    James Sheridan is a British newspaper pioneer credited with founding the influential international business daily, the Financial Times.
  • D. Brian d'Arcy James
    Brian d'Arcy James is an American actor and singer known for his work on Broadway and in film and television, including acclaimed performances in productions like "Shrek the Musical" and the film "Spotlight."
  • E. Colin Firth
    Colin Firth is an Academy Award–winning English actor renowned for his nuanced performances in films such as "The King’s Speech," "Pride and Prejudice," and "A Single Man."
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af653ce900819097157ca76cb45a81 completed March 10, 2026, 12:26 a.m.
Created at: March 4, 2026, 7:54 p.m.