Triple

T1438621
Position Surface form Disambiguated ID Type / Status
Subject The Mystery Series E31015 entity
Predicate hasMainCharacter P1183 FINISHED
Object Daisy
Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
 E166366 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: [The Mystery Series, hasMainCharacter, Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daisy
Context triple: [The Mystery Series, hasMainCharacter, 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 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. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • D. Daisy Parker
    Daisy Parker was the first wife of legendary jazz trumpeter and singer Louis Armstrong, whom he married in the early 1920s.
  • E. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • 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: [The Mystery Series, hasMainCharacter, Daisy]
Generated description
Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daisy
Target entity description: Daisy is the central protagonist of "The Mystery Series," around whom the stories' investigations and adventures revolve.
  • 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 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. Bess
    Bess was the familiar nickname of Elizabeth "Bess" Truman, the First Lady of the United States and wife of President Harry S. Truman.
  • D. Daisy Parker
    Daisy Parker was the first wife of legendary jazz trumpeter and singer Louis Armstrong, whom he married in the early 1920s.
  • E. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c506d5ac8190b4c5b394c6d3f414 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08ba2cf88190a859bb0974761968 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad0bc943488190892a88f4c0e392b9 completed March 8, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_69ad0c6abed48190815252fabc992c48 completed March 8, 2026, 5:43 a.m.
Created at: March 1, 2026, 8 p.m.