Triple

T11172385
Position Surface form Disambiguated ID Type / Status
Subject The Kursk E264306 entity
Predicate stars P1956 FINISHED
Object Matthias Schoenaerts E345123 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: Matthias Schoenaerts | Statement: [The Kursk, stars, Matthias Schoenaerts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthias Schoenaerts
Context triple: [The Kursk, stars, Matthias Schoenaerts]
  • A. Matthias Schoenaerts chosen
    Matthias Schoenaerts is a Belgian actor known for his intense, versatile performances in European cinema and international films such as "Rust and Bone," "Bullhead," and "Far from the Madding Crowd."
  • B. Michiel Huisman
    Michiel Huisman is a Dutch actor and musician known for roles in international film and television, including series like Game of Thrones and The Haunting of Hill House.
  • C. Ed Speleers
    Ed Speleers is an English actor best known for his roles in the fantasy film "Eragon" and the television series "Downton Abbey" and "Outlander."
  • D. Dominik Moll
    Dominik Moll is a French film director and screenwriter known for his darkly comic and psychological thrillers such as "Harry, He's Here to Help" and "Only the Animals."
  • E. Jérôme Seydoux
    Jérôme Seydoux is a French businessman and film industry executive, best known as the co-chairman of the cinema chain and production company Pathé.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483816af08190877f86ee52846581 completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:29 p.m.