Triple

T21051198
Position Surface form Disambiguated ID Type / Status
Subject Kevin Hartz E518585 entity
Predicate earlyInvestorIn P23259 FINISHED
Object Yammer NE NERFINISHED

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: Yammer | Statement: [Kevin Hartz, earlyInvestorIn, Yammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yammer
Context triple: [Kevin Hartz, earlyInvestorIn, Yammer]
  • A. Yammer chosen
    Yammer is an enterprise social networking service that enables employees within an organization to communicate, collaborate, and share information in a secure, Facebook-like environment.
  • B. Chatwork
    Chatwork is a cloud-based business messaging and collaboration platform designed to streamline team communication, task management, and file sharing.
  • C. Zoho Cliq
    Zoho Cliq is a team communication and collaboration platform offering real-time messaging, channels, and integrations for workplace productivity.
  • D. Slack
    Slack is a cloud-based team collaboration and messaging platform widely used for real-time communication, file sharing, and integrations with tools like Google Workspace.
  • E. Microsoft Teams
    Microsoft Teams is a collaboration and communication platform by Microsoft that provides chat, video conferencing, file sharing, and integration with other Microsoft 365 services for teams and organizations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7bd96c81909cb46419ad4e1222 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:35 p.m.