Triple

T35000572
Position Surface form Disambiguated ID Type / Status
Subject Princess Kosmonopolis E1009662 entity
Predicate portrayedOnFilmBy P1507 FINISHED
Object Geraldine Page 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: Geraldine Page | Statement: [Princess Kosmonopolis, portrayedOnFilmBy, Geraldine Page]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayedOnFilmBy
Context triple: [Princess Kosmonopolis, portrayedOnFilmBy, Geraldine Page]
  • A. portrayedBy chosen
    Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
  • B. isPortrayedIn
    Indicates that an entity is depicted or represented within a particular work, medium, or portrayal.
  • C. featuredInFilmBy
    Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
  • D. playedBy
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • E. portrayedInFilmDirectedBy
    Indicates that one entity is portrayed as a character in a film that is directed by another specified entity.
  • F. None of above.

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_69f76dcb716881909f75e4fd60ab2284 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff2d22ffb48190ae58ddf3c7e02869 completed May 9, 2026, 12:48 p.m.
PD Predicate disambiguation batch_69ff2ac2e1c4819096cc64e94aef2ff0 completed May 9, 2026, 12:38 p.m.
Created at: May 3, 2026, 4:01 p.m.