Triple

T3289113
Position Surface form Disambiguated ID Type / Status
Subject Nick Carraway E69057 entity
Predicate cousinOf P1999 FINISHED
Object Daisy Buchanan E68908 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 Buchanan | Statement: [Nick Carraway, cousinOf, Daisy Buchanan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daisy Buchanan
Context triple: [Nick Carraway, cousinOf, Daisy Buchanan]
  • A. Daisy Buchanan chosen
    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.
  • B. Daisy Grant
    Daisy Grant is a fictional press coordinator and later press secretary in the U.S. State Department on the political drama television series "Madam Secretary."
  • 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 a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
  • E. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05a3e5c819082552a7a911e3230 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324fec6d88190a8ecb6f9a3429b2e completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:10 p.m.