Triple

T19386937
Position Surface form Disambiguated ID Type / Status
Subject London Spy E484959 entity
Predicate director P255 FINISHED
Object Jakob Verbruggen NE NERFINISHED

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: Jakob Verbruggen | Statement: [London Spy, director, Jakob Verbruggen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakob Verbruggen
Context triple: [London Spy, director, Jakob Verbruggen]
  • A. Jakob Verbruggen chosen
    Jakob Verbruggen is a Belgian television and film director known for his work on high-profile crime and thriller series such as "The Fall," "London Spy," and "The Alienist."
  • B. Lucas Conijn
    Lucas Conijn was a 17th-century Dutch militia officer portrayed as a key figure in Frans Hals’s group portrait “The Company of Captain Albert Bas and Lieutenant Lucas Conijn.”
  • C. Marc de Jonge
    Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
  • D. Tijs Michiel Verwest
    Tijs Michiel Verwest is a Dutch DJ and record producer globally known by his stage name Tiësto, recognized as one of the most influential figures in electronic dance music.
  • E. Jason de Vos
    Jason de Vos is a retired Canadian professional soccer defender who captained the national team and later became a prominent soccer analyst and administrator.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b418f148190972b7b46038bc744 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.