Triple

T6115555
Position Surface form Disambiguated ID Type / Status
Subject Jawed Karim E136350 entity
Predicate collaboratedWith P435 FINISHED
Object Chad Hurley E506943 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: Chad Hurley | Statement: [Jawed Karim, collaboratedWith, Chad Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chad Hurley
Context triple: [Jawed Karim, collaboratedWith, Chad Hurley]
  • A. 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.
  • B. Jawed Karim
    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.
  • C. Jared Bush
    Jared Bush is an American screenwriter and director best known for his work on Disney animated films such as Zootopia, Moana, and Encanto.
  • D. Drew Houston
    Drew Houston is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
  • E. Chad Meredith Hurley chosen
    Chad Meredith Hurley is an American entrepreneur best known as a co-founder and former CEO of the video-sharing platform YouTube.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc246e48190b4f3d52eb682aa45 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256aa9f8819090fdc98343af6f8e completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.