Triple

T2948226
Position Surface form Disambiguated ID Type / Status
Subject Ryan Roslansky E79554 entity
Predicate platformLed P6947 FINISHED
Object LinkedIn E5698 NE FINISHED

How this triple was built (3 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: [Ryan Roslansky, platformLed, LinkedIn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LinkedIn
Context triple: [Ryan Roslansky, platformLed, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: platformLed
Context triple: [Ryan Roslansky, platformLed, LinkedIn]
  • A. hasLEDFacade
    Indicates that an entity features a facade equipped with LED lighting or LED display technology.
  • B. led chosen
    Indicates that one entity guided, directed, or was in charge of another entity or activity, typically over a period of time.
  • C. hasOnboardLEDs
    Indicates that one entity is equipped with built-in LED lights as part of its hardware.
  • D. ledCommunityAt
    Indicates that one entity held a leadership role or primary guiding responsibility within a particular community or community-based group.
  • E. hasOnboardLED
    Indicates that an entity includes an LED that is physically integrated into its hardware.
  • F. None of above.

Provenance (4 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b6cab88190b4dee7e5ec9347e5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc79f6d081908d3bbd52439f4d31 completed March 11, 2026, 5:24 a.m.
PD Predicate disambiguation batch_69ad960a70ac8190816b5ae3e8631031 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:57 p.m.