Triple

T15069366
Position Surface form Disambiguated ID Type / Status
Subject The Gentlemen (TV series) E379834 entity
Predicate starredActor P5563 FINISHED
Object Max Beesley E213654 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: Max Beesley | Statement: [The Gentlemen (TV series), starredActor, Max Beesley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Beesley
Context triple: [The Gentlemen (TV series), starredActor, Max Beesley]
  • A. Max Beesley chosen
    Max Beesley is an English actor and musician known for his roles in film and television dramas, as well as his work as a session keyboardist.
  • B. Damon Beesley
    Damon Beesley is a British television writer and producer best known for co-creating the hit comedy series "The Inbetweeners."
  • C. Andrew Beckett
    Andrew Beckett is the fictional lawyer protagonist in the film "Philadelphia," who battles AIDS-related discrimination through a landmark wrongful dismissal lawsuit.
  • D. Charlie Bewley
    Charlie Bewley is a British actor best known for his roles in the Twilight film series and various independent films and television dramas.
  • E. Jonathan Brackley
    Jonathan Brackley is a British television writer and producer best known for co-creating and writing the sci-fi drama series "Humans."
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae11d6648190bc9b5d4f520d694b completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:02 a.m.