Triple

T1312306
Position Surface form Disambiguated ID Type / Status
Subject Linda E28018 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Linnie
Linnie is a diminutive given name, typically used as an affectionate or informal variant of the name Linda.
 E151547 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: Linnie | Statement: [Linda, hasDiminutiveForm, Linnie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linnie
Context triple: [Linda, hasDiminutiveForm, Linnie]
  • A. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • B. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • C. Peutie
    Peutie is a village in Flemish Brabant, Belgium, that forms a residential suburb of the nearby city of Vilvoorde.
  • D. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • E. Nettie
    Nettie is a key character in "The Color Purple," known as Celie's beloved, intellectually curious sister whose letters and journey abroad provide hope, education, and spiritual grounding to the story.
  • 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: Linnie
Triple: [Linda, hasDiminutiveForm, Linnie]
Generated description
Linnie is a diminutive given name, typically used as an affectionate or informal variant of the name Linda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linnie
Target entity description: Linnie is a diminutive given name, typically used as an affectionate or informal variant of the name Linda.
  • A. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • B. Lyn
    Lyn is a Norwegian football club based in Oslo with a long history in the country’s top divisions.
  • C. Peutie
    Peutie is a village in Flemish Brabant, Belgium, that forms a residential suburb of the nearby city of Vilvoorde.
  • D. Mimi
    Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • E. Nettie
    Nettie is a key character in "The Color Purple," known as Celie's beloved, intellectually curious sister whose letters and journey abroad provide hope, education, and spiritual grounding to the story.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1572b1c8190ab978198c2d655c8 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf2964048190950723487c7cf707 completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbfc03f20819089a025fc745c9203 completed March 8, 2026, 12:16 a.m.
NED2 Entity disambiguation (via description) batch_69acc0282080819087676813c2852a96 completed March 8, 2026, 12:17 a.m.
Created at: March 1, 2026, 7:55 p.m.