Triple
T18506077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WooThemes |
E452199
|
entity |
| Predicate | acquiredBy |
P347
|
FINISHED |
| Object | Automattic |
—
|
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: Automattic | Statement: [WooThemes, acquiredBy, Automattic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Automattic Context triple: [WooThemes, 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.
Web.com Group, Inc.
Web.com Group, Inc. is a technology company that provides domain registration, website hosting, and online marketing services for small and medium-sized businesses.
-
C.
Weblogs, Inc.
Weblogs, Inc. was an early 2000s online media company and blog network that helped popularize professional blogging across a range of technology and lifestyle topics.
-
D.
Betaworks Ventures
Betaworks Ventures is an early-stage venture capital firm based in New York that invests in startups at the intersection of media, technology, and consumer products.
-
E.
Marketo
Marketo is a leading marketing automation software platform that helps businesses manage and optimize digital marketing campaigns and customer engagement.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341b6c48190b7da42f5df923e81 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.