Triple

T230459
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Kapor E4399 entity
Predicate familyName P18 FINISHED
Object Kapor
Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
 E34845 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: Kapor | Statement: [Mitchell Kapor, familyName, Kapor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kapor
Context triple: [Mitchell Kapor, familyName, Kapor]
  • A. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • B. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • C. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • D. Kalpeni
    Kalpeni is a coral atoll and inhabited island in India’s Lakshadweep archipelago in the Arabian Sea, known for its lagoon, beaches, and coconut groves.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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: Kapor
Triple: [Mitchell Kapor, familyName, Kapor]
Generated description
Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kapor
Target entity description: Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
  • A. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • B. Kawki
    Kawki is an indigenous Andean language closely related to Aymara and spoken by a small number of people in Peru.
  • C. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • D. Kalpeni
    Kalpeni is a coral atoll and inhabited island in India’s Lakshadweep archipelago in the Arabian Sea, known for its lagoon, beaches, and coconut groves.
  • E. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cac7994819080b0b3b10808f8e5 completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b8ac09c81908181fb0f15482e66 completed March 1, 2026, 12:42 a.m.
NEDg Description generation batch_69a38be7def48190b849244482b5a0e2 completed March 1, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69a38c30d2988190b48410ccf7783f35 completed March 1, 2026, 12:45 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.