Triple

T18173010
Position Surface form Disambiguated ID Type / Status
Subject Plaxo E435077 entity
Predicate competitor P1375 FINISHED
Object LinkedIn 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: LinkedIn | Statement: [Plaxo, competitor, LinkedIn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LinkedIn
Context triple: [Plaxo, competitor, 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 (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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56d0a88190af3f407d2a3bb74f completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.