Triple

T26970
Position Surface form Disambiguated ID Type / Status
Subject Barbara McClintock E540 entity
Predicate givenName P17 FINISHED
Object Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
 E7758 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: Barbara | Statement: [Barbara McClintock, givenName, Barbara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barbara
Context triple: [Barbara McClintock, givenName, Barbara]
  • A. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • D. Lucille Sheardown
    Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
  • E. Ruth
    Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
  • 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: Barbara
Triple: [Barbara McClintock, givenName, Barbara]
Generated description
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barbara
Target entity description: Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • A. Anna
    Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • D. Lucille Sheardown
    Lucille Sheardown was one of the later wives of American inventor Lee de Forest, associated with his personal life rather than his pioneering work in radio and electronics.
  • E. Ruth
    Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2467875048190aad87347c7a1cb67 completed Feb. 28, 2026, 1:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2623969188190814f662922953e39 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a2630ebfb08190a75f93b74424005b completed Feb. 28, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69a2636c35e48190b4e6260a95f55799 completed Feb. 28, 2026, 3:39 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.