Triple

T834923
Position Surface form Disambiguated ID Type / Status
Subject Jazz (novel) E18048 entity
Predicate mainCharacter P1183 FINISHED
Object Dorcas
Dorcas is the young, enigmatic woman whose tragic love affair and death drive the central events and emotional tensions in Toni Morrison's novel "Jazz."
 E106597 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: Dorcas | Statement: [Jazz (novel), mainCharacter, Dorcas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dorcas
Context triple: [Jazz (novel), mainCharacter, Dorcas]
  • A. Lydia
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • B. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • C. Nora
    Nora is a feminine given name of Latin origin, often used independently or as a diminutive of names like Honora, Eleanor, or Leonora.
  • D. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • E. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • 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: Dorcas
Triple: [Jazz (novel), mainCharacter, Dorcas]
Generated description
Dorcas is the young, enigmatic woman whose tragic love affair and death drive the central events and emotional tensions in Toni Morrison's novel "Jazz."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dorcas
Target entity description: Dorcas is the young, enigmatic woman whose tragic love affair and death drive the central events and emotional tensions in Toni Morrison's novel "Jazz."
  • A. Lydia
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • B. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • C. Nora
    Nora is a feminine given name of Latin origin, often used independently or as a diminutive of names like Honora, Eleanor, or Leonora.
  • D. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • E. Martha
    Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abccb94881909cd49aa3fd986b4a completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c714fc948190b84d34192b0064ff completed March 4, 2026, 5:45 a.m.
NEDg Description generation batch_69a7c82c5b888190ae5440f5d06d2bce completed March 4, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_69a7c8991e7c81908c31d60f9a7f2340 completed March 4, 2026, 5:52 a.m.
Created at: March 1, 2026, 7:38 p.m.