Triple

T1560859
Position Surface form Disambiguated ID Type / Status
Subject Daisy Bates E33319 entity
Predicate givenName P17 FINISHED
Object Daisy
Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
 E177425 NE FINISHED

How this triple was built (4 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 | Statement: [Daisy Bates, givenName, Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daisy
Context triple: [Daisy Bates, givenName, Daisy]
  • A. 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.
  • B. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • C. 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.
  • D. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • E. Daisy Parker
    Daisy Parker was the first wife of legendary jazz trumpeter and singer Louis Armstrong, whom he married in the early 1920s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daisy
Triple: [Daisy Bates, givenName, Daisy]
Generated description
Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daisy
Target entity description: Daisy is a feminine given name commonly associated with the daisy flower and often used in English-speaking countries.
  • A. 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.
  • B. Daisy
    Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • C. 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.
  • D. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • E. Daisy Parker
    Daisy Parker was the first wife of legendary jazz trumpeter and singer Louis Armstrong, whom he married in the early 1920s.
  • F. None of above. chosen

Provenance (5 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088710a881909a1226e4b54311b8 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad37151ad48190a8c25899b488c68b completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad385d931c8190a69b82853ba26a30 completed March 8, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69ad38d106348190835d753c6cffcc48 completed March 8, 2026, 8:52 a.m.
Created at: March 4, 2026, 7:27 p.m.