Triple

T35112920
Position Surface form Disambiguated ID Type / Status
Subject Grace Williams E1013344 entity
Predicate narrativeTimeline P68464 FINISHED
Object story alternates between past and present events involving her 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 alternates between past and present events involving her | Statement: [Grace Williams, narrativeTimeline, story alternates between past and present events involving her]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeTimeline
Context triple: [Grace Williams, narrativeTimeline, story alternates between past and present events involving her]
  • A. historicalNarrative
    Indicates that one entity presents or constitutes a story or account about past events involving another entity.
  • B. chronologyOf chosen
    Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
  • C. timelineUse
    Indicates that one entity utilizes or incorporates another entity within a temporal sequence or schedule (a timeline).
  • D. narrativeMoment
    Indicates the specific point or phase within a narrative at which an event, action, or relationship occurs.
  • E. chroniclesCreationOf
    Indicates that one entity documents or narrates the origin, development, or initial formation 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_69f76dd659d08190bcdc00d37caafb62 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd32848ea88190a71e6df402bbb30e completed May 8, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69fd2d7e95588190991d5f21e25155df completed May 8, 2026, 12:25 a.m.
Created at: May 3, 2026, 4:01 p.m.