Triple

T7436683
Position Surface form Disambiguated ID Type / Status
Subject Tell No One E171632 entity
Predicate productionCompany P490 FINISHED
Object Europacorp E275931 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: Europacorp | Statement: [Tell No One, productionCompany, Europacorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europacorp
Context triple: [Tell No One, productionCompany, Europacorp]
  • A. EuropaCorp chosen
    EuropaCorp is a French film production and distribution company founded by filmmaker Luc Besson, known for producing action and thriller movies such as the "Taxi" and "Taken" franchises.
  • B. Alcor Films
    Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
  • C. Zentropa Entertainments
    Zentropa Entertainments is a Danish film production company co-founded by director Lars von Trier, known for producing innovative and often provocative European cinema.
  • D. Navarone Productions
    Navarone Productions is a film production company best known for producing the World War II action sequel "Force 10 from Navarone."
  • E. Carnival Films
    Carnival Films is a British television and film production company best known internationally for creating the period drama series "Downton Abbey."
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f349399c8190b46d5882ece2e73a completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f228014819088220b2cefc3ee41 completed March 28, 2026, 6:34 p.m.
Created at: March 27, 2026, 3:13 p.m.