Triple
T1041598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Automattic |
E22480
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Automattic Inc. |
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 Inc. | Statement: [Automattic, name, Automattic Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Automattic Inc. Context triple: [Automattic, name, Automattic Inc.]
-
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.
DoubleClick Inc.
DoubleClick Inc. was a pioneering online advertising company best known for its ad-serving technology and data-driven targeting, later acquired by Google to strengthen its digital advertising platform.
-
C.
Marketo
Marketo is a leading marketing automation software platform that helps businesses manage and optimize digital marketing campaigns and customer engagement.
-
D.
Sprinklr
Sprinklr is a customer experience management and social media analytics software company that helps large enterprises manage and optimize interactions across digital channels.
-
E.
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.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82f6c14819080277443ea4722dd |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc768948190b1cda4eea93fe4b6 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:42 p.m.