Triple

T1621255
Position Surface form Disambiguated ID Type / Status
Subject Jeff Weiner E35035 entity
Predicate socialMediaPlatformLed P26715 FINISHED
Object LinkedIn E5698 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: LinkedIn | Statement: [Jeff Weiner, socialMediaPlatformLed, LinkedIn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LinkedIn
Context triple: [Jeff Weiner, socialMediaPlatformLed, LinkedIn]
  • A. LinkedIn chosen
    LinkedIn is a professional networking platform and social media service focused on careers, business connections, and job opportunities.
  • B. ZipRecruiter
    ZipRecruiter is an online employment marketplace that connects employers with job seekers through a large job board and AI-driven matching tools.
  • C. Glassdoor
    Glassdoor is an online platform where employees and former employees anonymously review companies, share salary information, and browse job listings.
  • D. Jobs
    Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
  • E. People Hub
    People Hub is a central contact and social networking hub in Windows Phone that aggregates contacts, social feeds, and communication history into a unified interface.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909b1fc788190b38c0aa4ccc2e953 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aaae76c81909707184b3a3d87d5 completed March 8, 2026, 11:47 p.m.
Created at: March 4, 2026, 7:28 p.m.