Triple
T23423379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FiveThirtyEight |
E560724
|
entity |
| Predicate | originalPlatform |
P11917
|
FINISHED |
| Object | Blogspot |
—
|
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: Blogspot | Statement: [FiveThirtyEight, originalPlatform, Blogspot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blogspot Context triple: [FiveThirtyEight, originalPlatform, Blogspot]
-
A.
Blogger
chosen
Blogger is a popular online platform that allows users to create, publish, and manage personal or professional blogs on the web.
-
B.
Naver Blog
Naver Blog is a popular South Korean blogging platform integrated into the Naver portal, allowing users to create and share personal and professional content online.
-
C.
WordPress.com
WordPress.com is a popular hosted blogging and website-building platform that allows users to create and manage websites without needing to run their own server software.
-
D.
Google Blog
Google Blog is an official online publication platform where Google shares company news, product announcements, and updates with users and developers.
-
E.
Tumblr
Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54780d88190a7d5c1426b85b7fc |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.