Triple

T16897821
Position Surface form Disambiguated ID Type / Status
Subject Sequoia Capital E424354 entity
Predicate investedIn P17330 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: [Sequoia Capital, investedIn, LinkedIn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LinkedIn
Context triple: [Sequoia Capital, investedIn, 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. CareerBuilder
    CareerBuilder is an employment website and human capital solutions company that connects job seekers with employers through online job listings, recruitment software, and labor market analytics.
  • D. Glassdoor
    Glassdoor is an online platform where employees and former employees anonymously review companies, share salary information, and browse job listings.
  • E. Occupational Information Network
    The Occupational Information Network (O*NET) is a comprehensive U.S. database that provides detailed, standardized information on job characteristics, worker skills, and occupational requirements used for labor market research, career exploration, and workforce development.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d98c308190bcc0adc7797d1f40 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.