Triple
T1056207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Karp |
E22800
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Tumblr |
E3609
|
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: Tumblr | Statement: [David Karp, founded, Tumblr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumblr Context triple: [David Karp, founded, Tumblr]
-
A.
Tumblr
chosen
Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
-
B.
MySpace
MySpace is a pioneering early-2000s social networking website that allowed users to create customizable profile pages, connect with friends, and share music and other media.
-
C.
Ning
Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
-
D.
Blogger
Blogger is a popular online platform that allows users to create, publish, and manage personal or professional blogs on the web.
-
E.
Reddit
Reddit is a large, community-driven social media and discussion platform organized into topic-based forums called subreddits.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d9102c819090af78cae50f0ff2 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0a15e48190a011c4aff5c285af |
completed | March 7, 2026, 6:31 p.m. |
Created at: March 1, 2026, 7:42 p.m.