Triple
T1041628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Automattic |
E22480
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object | Crowdsignal |
E120452
|
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: Crowdsignal | Statement: [Automattic, develops, Crowdsignal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crowdsignal Context triple: [Automattic, develops, Crowdsignal]
-
A.
Crowdsignal
chosen
Crowdsignal is an online survey and polling platform, best known for enabling users to easily create and distribute questionnaires and collect feedback on the web.
-
B.
Google Forms
Google Forms is a web-based application for creating, distributing, and analyzing online surveys, quizzes, and data collection forms.
-
C.
Surveys 360
Surveys 360 is an enterprise-level online survey and market research tool within Google’s marketing and analytics ecosystem, designed to help businesses gather and analyze customer insights at scale.
-
D.
Pollster.com
Pollster.com is a political polling aggregation and analysis website co-founded by Charles Franklin that compiles and visualizes public opinion data, particularly around elections.
-
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 (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_69ac429ad45481908641fcaf72f7d1b9 |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.