Triple

T28889347
Position Surface form Disambiguated ID Type / Status
Subject Old Rose Dawson Calvert E732652 entity
Predicate portrayedByInDeletedScenes P105074 FINISHED
Object Gloria Stuart 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: Gloria Stuart | Statement: [Old Rose Dawson Calvert, portrayedByInDeletedScenes, Gloria Stuart]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayedByInDeletedScenes
Context triple: [Old Rose Dawson Calvert, portrayedByInDeletedScenes, Gloria Stuart]
  • A. portrayedByInSequel
    Indicates that an entity is portrayed by a particular actor or performer specifically in a sequel work (e.g., a sequel film, series, or game).
  • B. laterDepictedIn
    Indicates that an entity is portrayed or represented in a depiction (such as an image, artwork, or illustration) that was created at a later time than the entity itself.
  • C. alsoPortrayedBy chosen
    Indicates that the same role or character is portrayed by an additional, different performer or actor.
  • D. playedRoleIn
    Indicates that an entity performed or assumed a specific role or character within a particular event, production, or context.
  • E. portrayedByInSpinOff
    Indicates that an entity is portrayed by a particular actor specifically in a spin-off production related to the original work.
  • 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_69f05b07bdec819080cadfe147aa1f25 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fcc4b700748190ae00b21d09c96695 completed May 7, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fcb0f9d3d881908a049475182fb039 completed May 7, 2026, 3:34 p.m.
Created at: April 28, 2026, 7:53 a.m.