Triple

T34976056
Position Surface form Disambiguated ID Type / Status
Subject Krakozhian E1008679 entity
Predicate hasNotablePortrayalBy GENERATED
Object Tom Hanks UNRECOGNIZED GENERATED

How this triple was built (1 step)

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.

PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotablePortrayalBy
Context triple: [Krakozhian, hasNotablePortrayalBy, Tom Hanks]
  • A. hasYoungPortrayalOf
    Indicates that one entity is a portrayal or depiction of another entity specifically in their younger age or earlier life stage.
  • B. hasPortrayedRole
    Indicates that an entity has performed or depicted a specific role or character, typically in a work such as a film, play, or television show.
  • C. hasPortrayedPersonRole
    Indicates that an entity has performed or held a specific role in portraying a particular person (e.g., in a film, play, or other representation).
  • D. notableCharacterPortrayal chosen
    Indicates that an entity is recognized for its portrayal or depiction of a particular character, typically in a performance or narrative work.
  • E. hasNotablePortrayerOccupation
    Indicates that the occupation specified is a notable profession of a person who portrays the given entity (such as an actor playing a character).
  • F. None of above.

Provenance (1 batch)

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_69f76dc78a308190a1ac29ad4a9a4895 completed May 3, 2026, 3:46 p.m.
Created at: May 3, 2026, 4:01 p.m.