Triple

T1217004
Position Surface form Disambiguated ID Type / Status
Subject Ray Kurzweil E26127 entity
Predicate founded P104 FINISHED
Object Kurzweil Technologies E139161 NE FINISHED

How this triple was built (2 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: Kurzweil Technologies | Statement: [Ray Kurzweil, founded, Kurzweil Technologies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurzweil Technologies
Context triple: [Ray Kurzweil, founded, Kurzweil Technologies]
  • A. Kurzweil Computer Products, Inc. chosen
    Kurzweil Computer Products, Inc. was an early technology company best known for pioneering commercial optical character recognition (OCR) systems and reading machines for the blind.
  • B. Kurzweil Applied Intelligence
    Kurzweil Applied Intelligence is a technology company known for pioneering speech recognition and artificial intelligence software applications.
  • C. Einstein AI
    Einstein AI is Salesforce’s integrated artificial intelligence platform that powers predictive analytics, automation, and intelligent insights across its CRM ecosystem.
  • D. Obvious Corporation
    Obvious Corporation was the early holding company and development vehicle created by Twitter’s founders that incubated and spun out Twitter as an independent company.
  • E. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be06d6308190a44c505e6b5e8d42 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93bcdbbc8190a5eb1f4285faa8d4 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:46 p.m.