Triple

T6362089
Position Surface form Disambiguated ID Type / Status
Subject Love Medicine E143133 entity
Predicate hasSequel P1961 FINISHED
Object The Beet Queen E482590 NE 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: The Beet Queen | Statement: [Love Medicine, hasSequel, The Beet Queen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Beet Queen
Context triple: [Love Medicine, hasSequel, The Beet Queen]
  • A. The Beet Queen chosen
    The Beet Queen is a novel by Louise Erdrich that continues her interconnected North Dakota saga, exploring small-town life, family bonds, and identity across several decades.
  • B. The Book of Bebb
    The Book of Bebb is a comic yet spiritually probing series of novels by Frederick Buechner centered on the eccentric evangelist Leo Bebb and his unlikely impact on those around him.
  • C. Bee Girl
    Bee Girl is the iconic young girl in a bee costume from Blind Melon's "No Rain" music video, symbolizing outsider identity and the search for acceptance.
  • D. The Pepperpot
    The Pepperpot is a distinctive octagonal former town hall and market house that serves as an iconic historic landmark in the Surrey town of Godalming, England.
  • E. The Bean Eater
    The Bean Eater is a genre painting by Annibale Carracci depicting a humble man eating a simple meal, celebrated for its realistic detail and earthy, everyday subject matter.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680c02b481908618317566e31a5c completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d6d906481908b5883bff18ceec8 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.