Triple

T2673906
Position Surface form Disambiguated ID Type / Status
Subject Mark Strong E56411 entity
Predicate hasWorkedWith P9615 FINISHED
Object director Guy Ritchie E17190 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: director Guy Ritchie | Statement: [Mark Strong, hasWorkedWith, director Guy Ritchie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: director Guy Ritchie
Context triple: [Mark Strong, hasWorkedWith, director Guy Ritchie]
  • A. Guy Ritchie chosen
    Guy Ritchie is a British film director and screenwriter best known for his fast-paced, stylized crime comedies such as "Lock, Stock and Two Smoking Barrels," "Snatch," and "The Gentlemen."
  • B. Dexter Fletcher
    Dexter Fletcher is a British actor and film director known for directing movies such as "Rocketman" and for his long career in UK television and cinema.
  • C. Brett Ratner
    Brett Ratner is an American film director and producer best known for commercial hits like the Rush Hour series and X-Men: The Last Stand.
  • D. Mike Donovan
    Mike Donovan is a recurring human character in Isaac Asimov’s Robot series, known as a field tester and troubleshooter who works closely with experimental robots.
  • E. Matthew Vaughn
    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.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b228cc819097f045b4a51d8e7c completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06170108190a6f4be82fa4ecd2a completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:54 p.m.