Triple
T177639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumblr |
E3609
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Automattic |
E22480
|
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: Automattic | Statement: [Tumblr, acquiredBy, Automattic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Automattic Context triple: [Tumblr, acquiredBy, Automattic]
-
A.
Automattic
chosen
Automattic is a web development and publishing company best known for owning and operating WordPress.com and several other major online platforms and tools.
-
B.
Dropbox
Dropbox is a cloud-based file storage and collaboration company known for enabling users to easily sync and share files across devices.
-
C.
Twitter, Inc.
Twitter, Inc. was a major social media and microblogging company best known for its real-time short-message platform that shaped online news, politics, and public discourse worldwide.
-
D.
Salesforce
Salesforce is a leading cloud-based customer relationship management (CRM) company known for its suite of enterprise applications for sales, service, marketing, and analytics.
-
E.
Blogger
Blogger is a popular online platform that allows users to create, publish, and manage personal or professional blogs on the web.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258fe7bb08190a56f4a54cadd2fef |
completed | Feb. 28, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2f0b4f1708190b766e1d9b43038ed |
completed | Feb. 28, 2026, 1:42 p.m. |
Created at: Feb. 28, 2026, 2:39 a.m.