Triple

T733643
Position Surface form Disambiguated ID Type / Status
Subject Jack E14882 entity
Predicate hasVariant P455 FINISHED
Object Jackie
Jackie is a given name, often used as a diminutive or variant of names like Jack, Jacqueline, or John.
 E87592 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: Jackie | Statement: [Jack, hasVariant, Jackie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jackie
Context triple: [Jack, hasVariant, Jackie]
  • A. Jackie Goldberg
    Jackie Goldberg is an American activist and politician known for her prominent role in the 1960s Free Speech Movement at UC Berkeley and her later service in California politics.
  • B. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • C. Leslie
    Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
  • D. Leslie
    Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • E. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • 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: Jackie
Triple: [Jack, hasVariant, Jackie]
Generated description
Jackie is a given name, often used as a diminutive or variant of names like Jack, Jacqueline, or John.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jackie
Target entity description: Jackie is a given name, often used as a diminutive or variant of names like Jack, Jacqueline, or John.
  • A. Jackie Goldberg
    Jackie Goldberg is an American activist and politician known for her prominent role in the 1960s Free Speech Movement at UC Berkeley and her later service in California politics.
  • B. Nance
    Nance is the middle name of John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • C. Leslie
    Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
  • D. Leslie
    Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
  • E. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d6cc58819082018cdfa14b37df completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5f0de4819083457c86e5e93ba0 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64b03246081908c20445a7a401008 completed March 3, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69a64b4e9cec8190a3dcc378f853be0d completed March 3, 2026, 2:45 a.m.
Created at: March 1, 2026, 7:37 p.m.