Triple

T5136521
Position Surface form Disambiguated ID Type / Status
Subject Meg March E115837 entity
Predicate child P120 FINISHED
Object Daisy Brooke E420731 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: Daisy Brooke | Statement: [Meg March, child, Daisy Brooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy Brooke
Context triple: [Meg March, child, Daisy Brooke]
  • A. Daisy Brooke chosen
    Daisy Brooke is a gentle, well-mannered young girl at Plumfield School in Louisa May Alcott’s novel "Little Men," known for her sweetness and domestic inclinations.
  • B. Daisy Buchanan
    Daisy Buchanan is a wealthy, beautiful, and emotionally elusive socialite in F. Scott Fitzgerald’s novel "The Great Gatsby," symbolizing both the allure and moral emptiness of the American upper class in the 1920s.
  • C. Daisy
    Daisy is a central character in Margaret Atwood's dystopian novel "The Testaments," whose perspective helps reveal the inner workings and resistance within the totalitarian regime of Gilead.
  • D. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • E. Daisy
    Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd785069108190bf9cfdc7d962d43f completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d04b3c8190bfac5986e1bb89a5 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.