Triple

T6964929
Position Surface form Disambiguated ID Type / Status
Subject Death Stranding 2: On the Beach E161463 entity
Predicate featuresActor P15562 FINISHED
Object Lea Seydoux E161355 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: Lea Seydoux | Statement: [Death Stranding 2: On the Beach, featuresActor, Lea Seydoux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lea Seydoux
Context triple: [Death Stranding 2: On the Beach, featuresActor, Lea Seydoux]
  • A. Lea Seydoux chosen
    Léa Seydoux is a French actress known for her roles in films such as "Blue Is the Warmest Colour," multiple James Bond movies, and various international arthouse and blockbuster productions.
  • B. Nicolas Seydoux
    Nicolas Seydoux is a French film industry executive and producer, notably associated with the Gaumont film company and part of a prominent cinematic family.
  • C. Bérénice Marlohe
    Bérénice Marlohe is a French actress best known internationally for her role as Sévérine in the James Bond film "Skyfall."
  • D. Mélanie Laurent
    Mélanie Laurent is a French actress, director, and singer best known internationally for her acclaimed role in Quentin Tarantino’s film "Inglourious Basterds."
  • E. Clémence Poésy
    Clémence Poésy is a French actress and model known for her roles in films such as the Harry Potter series, In Bruges, and various French and international productions.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1049e0819097099a0e9d15f787 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794318fb08190a9a89570b2a6999b completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:30 p.m.