Triple

T19695549
Position Surface form Disambiguated ID Type / Status
Subject Douglas Spaulding E472948 entity
Predicate appearsIn P795 FINISHED
Object Dandelion Wine NE NERFINISHED

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: Dandelion Wine | Statement: [Douglas Spaulding, appearsIn, Dandelion Wine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dandelion Wine
Context triple: [Douglas Spaulding, appearsIn, Dandelion Wine]
  • A. Dandelion Wine chosen
    Dandelion Wine is a nostalgic semi-autobiographical novel by Ray Bradbury that captures the magic and melancholy of a boy’s summer in a small Midwestern town.
  • B. Whilomville Stories
    Whilomville Stories is a collection of short stories by Stephen Crane that depict small-town American life with his characteristic realism and psychological insight.
  • C. The Land of Green Plums
    The Land of Green Plums is a novel by Nobel laureate Herta Müller that portrays the oppressive atmosphere and psychological trauma of life under Romania’s communist dictatorship.
  • D. The Land
    The Land is an EPCOT pavilion focused on agriculture and the natural environment, featuring attractions and exhibits about sustainable farming, ecosystems, and human interaction with the Earth.
  • E. The Land
    The Land is a 2016 coming-of-age drama film that follows a group of Cleveland teenagers pursuing professional skateboarding while becoming entangled in the local drug trade.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642147c3c8190a4c788e4bb48fe11 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.