Triple

T19876197
Position Surface form Disambiguated ID Type / Status
Subject Karin Kinsella E477642 entity
Predicate fictionalUniverse P3758 FINISHED
Object Field of Dreams universe NE NERFINISHED

How this triple was built (3 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: Field of Dreams universe | Statement: [Karin Kinsella, fictionalUniverse, Field of Dreams universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Field of Dreams universe
Context triple: [Karin Kinsella, fictionalUniverse, Field of Dreams universe]
  • A. Another World universe
    The Another World universe is the fictional setting of the long-running American soap opera "Another World," centered on the lives, relationships, and dramas of the residents of the town of Bay City.
  • B. The Human Comedy universe
    The Human Comedy universe is the fictional small-town American setting created by William Saroyan, centered on the lives and wartime experiences of the Macauley family and their community.
  • C. Twins film universe
    The Twins film universe is the comedic cinematic world established by the 1988 film "Twins," centered on genetically engineered twin brothers with wildly contrasting personalities.
  • D. Ozark universe
    The Ozark universe is the gritty, crime-ridden fictional world of the television series "Ozark," centered on money laundering, drug cartels, and moral decay in the Missouri Ozarks.
  • E. It’s a Wonderful Life universe
    The It’s a Wonderful Life universe is the fictional small-town American setting, centered on Bedford Falls, in which the classic 1946 Frank Capra film’s story of George Bailey and his alternate-life vision unfolds.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Field of Dreams universe
Target entity description: The Field of Dreams universe is the fictional world centered on the magical Iowa baseball field where past legends and personal ghosts appear to help characters reconcile dreams, regrets, and family relationships.
  • A. Another World universe
    The Another World universe is the fictional setting of the long-running American soap opera "Another World," centered on the lives, relationships, and dramas of the residents of the town of Bay City.
  • B. The Human Comedy universe
    The Human Comedy universe is the fictional small-town American setting created by William Saroyan, centered on the lives and wartime experiences of the Macauley family and their community.
  • C. Twins film universe
    The Twins film universe is the comedic cinematic world established by the 1988 film "Twins," centered on genetically engineered twin brothers with wildly contrasting personalities.
  • D. Ozark universe
    The Ozark universe is the gritty, crime-ridden fictional world of the television series "Ozark," centered on money laundering, drug cartels, and moral decay in the Missouri Ozarks.
  • E. It’s a Wonderful Life universe
    The It’s a Wonderful Life universe is the fictional small-town American setting, centered on Bedford Falls, in which the classic 1946 Frank Capra film’s story of George Bailey and his alternate-life vision unfolds.
  • F. None of above. chosen

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658db058c8190b7bf0b003ead5bfc completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.