Triple

T34999938
Position Surface form Disambiguated ID Type / Status
Subject Flood on the Floss E1009644 entity
Predicate relatedCharacterArc P20798 FINISHED
Object Maggie Tulliver's search for redemption 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: Maggie Tulliver's search for redemption | Statement: [Flood on the Floss, relatedCharacterArc, Maggie Tulliver's search for redemption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedCharacterArc
Context triple: [Flood on the Floss, relatedCharacterArc, Maggie Tulliver's search for redemption]
  • A. linkedCharacterArc
    Indicates that one character’s narrative development is directly connected to, influenced by, or dependent on another character’s arc.
  • B. characterArc chosen
    Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
  • C. characterArcElement
    Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
  • D. affectsCharacterArc
    Indicates that one event, action, or element causes a meaningful change or development in a character’s personal journey or growth over the course of the story.
  • E. characterArcContinuation
    Indicates that a character’s development or transformation in the narrative continues from a previous point or installment, maintaining coherence and progression in their storyline.
  • 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_6a037c8c34f88190ace26f555827f23e completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379ff1ba081908eda86acefcf69fb completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:01 p.m.