Triple

T10738829
Position Surface form Disambiguated ID Type / Status
Subject Gazelle (Kingsman) E253265 entity
Predicate creator P184 FINISHED
Object Matthew Vaughn E48037 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: Matthew Vaughn | Statement: [Gazelle (Kingsman), creator, Matthew Vaughn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Vaughn
Context triple: [Gazelle (Kingsman), creator, Matthew Vaughn]
  • A. Matthew Vaughn chosen
    Matthew Vaughn is a British filmmaker and producer known for stylish, fast-paced genre movies such as "Layer Cake," "Kick-Ass," and the "Kingsman" series.
  • B. Shane Black
    Shane Black is an American screenwriter, director, and actor best known for writing the original Lethal Weapon and directing films such as Kiss Kiss Bang Bang and Iron Man 3.
  • C. Tim Miller
    Tim Miller is a filmmaker best known for directing the blockbuster science fiction film "Deadpool" and later helming "Terminator: Dark Fate."
  • D. Ruben Fleischer
    Ruben Fleischer is an American film director and producer best known for helming movies such as "Zombieland," "Venom," and other major Hollywood action-comedies.
  • E. Michael Vaughn
    Michael Vaughn is a fictional CIA handler and love interest of Sydney Bristow in the television series "Alias."
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de558f26e88190a9cb8f4d0539e5a5 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:14 p.m.