Triple

T10132348
Position Surface form Disambiguated ID Type / Status
Subject James Bidzos E226368 entity
Predicate employer P7 FINISHED
Object VeriSign E37205 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: VeriSign | Statement: [James Bidzos, employer, VeriSign]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VeriSign
Context triple: [James Bidzos, employer, VeriSign]
  • A. VeriSign chosen
    VeriSign is an American technology company best known for operating key internet infrastructure, including managing the .com and .net top-level domains and providing critical DNS and security services.
  • B. GoDaddy
    GoDaddy is a major American internet domain registrar and web hosting company known for providing online presence and website services to individuals and businesses worldwide.
  • C. Akamai Technologies
    Akamai Technologies is a leading global content delivery network (CDN) and cloud services provider that optimizes and secures the delivery of online content and applications.
  • D. Tucows
    Tucows is a Canadian internet services company best known as a major domain name registrar and provider of related web and email services.
  • E. Nominet UK
    Nominet UK is the organization responsible for managing and operating the .uk country-code top-level domain for the United Kingdom.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd336cbf48190b647c69675d0b06f completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ce3fcc8190b1d07dbba34d6bff completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:06 p.m.