Triple

T1962898
Position Surface form Disambiguated ID Type / Status
Subject Kabuliwala E42626 entity
Predicate mainCharacter P1183 FINISHED
Object Mini
Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
 E218900 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: Mini | Statement: [Kabuliwala, mainCharacter, Mini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mini
Context triple: [Kabuliwala, mainCharacter, Mini]
  • A. Mini
    Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
  • B. Small
    Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
  • C. MIN
    MIN is the standard abbreviation used for the Minnesota Twins Major League Baseball team.
  • D. MIN
    MIN is the standard NBA abbreviation for the Minnesota Timberwolves basketball team.
  • E. Tiny
    Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
  • 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: Mini
Triple: [Kabuliwala, mainCharacter, Mini]
Generated description
Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mini
Target entity description: Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
  • A. Mini
    Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
  • B. Small
    Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
  • C. MIN
    MIN is the standard abbreviation used for the Minnesota Twins Major League Baseball team.
  • D. MIN
    MIN is the standard NBA abbreviation for the Minnesota Timberwolves basketball team.
  • E. Tiny
    Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ac31a08190abaecac8badc52c7 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd133908190add1c78d91a813ef completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6d7fb08190959ee247d0060f4c completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd2f68f48190ad23db5ca6ae663a completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.