Triple

T15990092
Position Surface form Disambiguated ID Type / Status
Subject Byron Deeter E387800 entity
Predicate boardMemberOf P10 FINISHED
Object SendGrid E1040746 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: SendGrid | Statement: [Byron Deeter, boardMemberOf, SendGrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SendGrid
Context triple: [Byron Deeter, boardMemberOf, SendGrid]
  • A. SendGrid chosen
    SendGrid is a cloud-based email delivery and marketing platform that helps businesses reliably send transactional and marketing emails at scale.
  • B. MessageLabs
    MessageLabs was a pioneering cloud-based email and web security services provider known for its anti-spam and anti-virus solutions for businesses.
  • C. RocketMail
    RocketMail was one of the earliest free web-based email services, later acquired and integrated into Yahoo's email platform.
  • D. Mailer
    Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
  • E. Mailer
    Mailer is Symfony’s email-sending component that provides a flexible, secure, and extensible way to create and deliver emails in PHP applications.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157829ec08190aa4a683e29a0148a completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d2369081909efa2d4addf0cf2d completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.