Triple

T980207
Position Surface form Disambiguated ID Type / Status
Subject Chad Hurley E21148 entity
Predicate hasFoundedCompany P22134 FINISHED
Object AVOS Systems E107971 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: AVOS Systems | Statement: [Chad Hurley, hasFoundedCompany, AVOS Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AVOS Systems
Context triple: [Chad Hurley, hasFoundedCompany, AVOS Systems]
  • A. AVOS Systems chosen
    AVOS Systems was a technology company co-founded by YouTube’s creators that focused on developing and managing online consumer web services and social bookmarking platforms.
  • B. Kii Channel
    The Kii Channel is a strait in western Japan that separates the islands of Honshu and Shikoku and links the Seto Inland Sea with the Pacific Ocean.
  • C. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • D. Relational Software Inc.
    Relational Software Inc. was the early name of the company that eventually became Oracle Corporation, a major multinational database and enterprise software company.
  • E. Amazon DynamoDB
    Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b75103688190a14342eef3842984 completed March 1, 2026, 10:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258909a88190b597a72cd6c0fa87 completed March 7, 2026, 1:18 p.m.
Created at: March 1, 2026, 7:40 p.m.