Triple

T17617175
Position Surface form Disambiguated ID Type / Status
Subject Samantha Albertson E429112 entity
Predicate storyStructureRole P99131 FINISHED
Object connects past and present timelines in the film LITERAL 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: connects past and present timelines in the film | Statement: [Samantha Albertson, storyStructureRole, connects past and present timelines in the film]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: storyStructureRole
Context triple: [Samantha Albertson, storyStructureRole, connects past and present timelines in the film]
  • A. dramaticStructureRole chosen
    Indicates the specific function or role an element plays within the overall dramatic structure of a narrative or performance.
  • B. metaNarrativeRole
    Indicates the narrative function or role that one element (such as a character, voice, or device) plays in commenting on, framing, or reflecting the story itself at a meta-level.
  • C. roleInStories
    Indicates the specific function, position, or character part an entity plays within one or more stories.
  • D. storyCharacterizedAs
    Indicates that a story is described, portrayed, or defined as having a particular quality, style, or attribute.
  • E. stagePersonaOf
    Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d33a2b081908deecee773c333af completed April 19, 2026, 5:50 a.m.
PD Predicate disambiguation batch_69e3cdd7da34819099bc9481c5a79bab completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:51 a.m.