Triple

T16231992
Position Surface form Disambiguated ID Type / Status
Subject Keith Rabois E394004 entity
Predicate notableInvestment P3488 FINISHED
Object Eventbrite E1187495 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: Eventbrite | Statement: [Keith Rabois, notableInvestment, Eventbrite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eventbrite
Context triple: [Keith Rabois, notableInvestment, Eventbrite]
  • A. Eventbrite chosen
    Eventbrite is a global self-service ticketing and event management platform that enables organizers to create, promote, and sell tickets to events of all sizes.
  • B. Media Independent Event Service
    Media Independent Event Service is a component of the IEEE 802.21 framework that provides a standardized way to report and manage network-related events across heterogeneous access technologies to support seamless handovers.
  • C. EventsML
    EventsML is an XML-based standard for describing, exchanging, and managing news and media event information across global news organizations.
  • D. Eventim UK
    Eventim UK is a British ticketing and live entertainment company that operates and manages major venues and events across the United Kingdom.
  • E. Eventim Apollo
    Eventim Apollo is a famous West London entertainment venue known for hosting major concerts, comedy shows, and live performances.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29fa248190943f4c3f7808908b completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:04 a.m.