Triple
T5270527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouTube |
E119243
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object | Chad Hurley |
E21148
|
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: [YouTube, coFoundedBy, Chad Hurley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chad Hurley Context triple: [YouTube, coFoundedBy, Chad Hurley]
-
A.
Chad Hurley
chosen
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
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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bff37cc819095423cf914086c1b |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06cb5f788190b9ee79ca15da9d58 |
completed | March 21, 2026, 8:59 p.m. |
Created at: March 20, 2026, 1:51 p.m.