Triple

T20630647
Position Surface form Disambiguated ID Type / Status
Subject Chad Meredith Hurley E506943 entity
Predicate coFounderWith P2835 FINISHED
Object Jawed Karim 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: Jawed Karim | Statement: [Chad Meredith Hurley, coFounderWith, Jawed Karim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jawed Karim
Context triple: [Chad Meredith Hurley, coFounderWith, Jawed Karim]
  • A. Jawed Karim chosen
    Jawed Karim is a German-American computer scientist and entrepreneur best known as a co-founder of YouTube and the uploader of its first video.
  • B. Chad Hurley
    Chad Hurley is an American entrepreneur and technologist best known as a co-founder and former CEO of the video-sharing platform YouTube.
  • C. Sabeer Bhatia
    Sabeer Bhatia is an Indian-American entrepreneur best known as the co-founder of the pioneering web-based email service Hotmail.
  • D. Shawn Fanning
    Shawn Fanning is an American computer programmer and entrepreneur best known for creating the pioneering peer-to-peer file sharing service Napster, which revolutionized digital music distribution in the late 1990s.
  • E. Steve Chen
    Steve Chen is a Taiwanese-American internet entrepreneur best known as one of the co-founders of the video-sharing platform YouTube.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad09c71881909698d3c2576cc181 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.