Triple

T3694003
Position Surface form Disambiguated ID Type / Status
Subject Max Hodak E78409 entity
Predicate hasPublicProfile P5387 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: [Max Hodak, hasPublicProfile, LinkedIn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LinkedIn
Context triple: [Max Hodak, hasPublicProfile, 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. CareerBuilder (stake)
    CareerBuilder (stake) refers to the ownership interest held in CareerBuilder, a major online employment and recruitment platform.
  • E. Jobs
    Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e9e4748190aa178692ef27e3a6 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d0f2d88190b31e8c336f1a1bf3 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.