Triple

T12115667
Position Surface form Disambiguated ID Type / Status
Subject Chris E288552 entity
Predicate partOfPlot P103369 FINISHED
Object story about a married couple exploring ways to revive their relationship 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: story about a married couple exploring ways to revive their relationship | Statement: [Chris, partOfPlot, story about a married couple exploring ways to revive their relationship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfPlot
Context triple: [Chris, partOfPlot, story about a married couple exploring ways to revive their relationship]
  • A. centralPlotDevice
    Indicates that one entity functions as the main narrative mechanism or element around which the plot of the other entity is structured.
  • B. majorPlotPoint
    Indicates that an event or development plays a central, pivotal role in the overall progression or outcome of the plot.
  • C. partOfPlan
    Indicates that one entity is included as a component or step within a broader plan or strategy.
  • D. taskInPlot
    Indicates that a specific task occurs within, is associated with, or is part of a particular plot or storyline.
  • E. hasPoliticalPlot
    Indicates that the subject work contains a storyline or narrative element centered on politics, political events, or political power struggles.
  • F. None of above. chosen

Provenance (4 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9164ada5081908676bd9e5947268a completed April 10, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69d9150497408190921334d21503375a completed April 10, 2026, 3:19 p.m.
PDg Predicate description generation batch_69d916481a008190ae66677b9e6dd961 completed April 10, 2026, 3:24 p.m.
Created at: April 8, 2026, 9:49 p.m.