Triple
T4554698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crowdsignal |
E120452
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Polldaddy |
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: Polldaddy | Statement: [Crowdsignal, formerName, Polldaddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polldaddy Context triple: [Crowdsignal, formerName, Polldaddy]
-
A.
SurveyMonkey
SurveyMonkey is a leading online survey and experience management platform that enables individuals and organizations to create, distribute, and analyze surveys and feedback data.
-
B.
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.
-
C.
Google Forms
Google Forms is a web-based application for creating, distributing, and analyzing online surveys, quizzes, and data collection forms.
-
D.
Webtrends
Webtrends is a digital analytics company known for providing web traffic measurement and marketing optimization solutions for websites and online campaigns.
-
E.
Data Studio
Data Studio is Google's free data visualization and business intelligence tool that lets users create interactive, shareable reports and dashboards from multiple data sources.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58127ed08190a04962a43afb888b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc575e3388190ac95b9e0537fb701 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:09 p.m.