Triple
T55485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E1096
|
entity | |
| Predicate | product |
P490
|
FINISHED |
| Object |
YouTube
YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
|
E2481
|
NE FINISHED |
How this triple was built (4 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: YouTube | Statement: [Google, product, YouTube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YouTube Context triple: [Google, product, YouTube]
-
A.
Google
Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
-
B.
Facebook
Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
-
C.
Microsoft
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
-
D.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
-
E.
Benny Beaver
Benny Beaver is the costumed beaver mascot representing Oregon State University at its athletic events and school functions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: YouTube Triple: [Google, product, YouTube]
Generated description
YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YouTube Target entity description: YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
-
A.
Google
Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
-
B.
Facebook
Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
-
C.
SnagFilms
SnagFilms was a video-on-demand platform specializing in streaming independent films and documentaries online.
-
D.
Fox
Fox is a major American broadcast television network known for airing NFL games, including extensive coverage of NFC East matchups.
-
E.
AOL
AOL is a pioneering American internet and online services company best known for popularizing dial-up access and email in the 1990s and early 2000s.
- F. None of above. chosen
Provenance (5 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b06c5488190afb5429a7999e3f3 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e67187c8190950aec5d9f8ecc60 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24f001c588190b7eec6eec4fb5fd9 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24fcbeee4819087186dada7466dfe |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.