Triple
T3451878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gainsight |
E72810
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Gainsight CS |
E72810
|
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: Gainsight CS | Statement: [Gainsight, product, Gainsight CS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gainsight CS Context triple: [Gainsight, product, Gainsight CS]
-
A.
Gainsight
chosen
Gainsight is a customer success and product experience software company known for helping businesses reduce churn, drive expansion, and improve customer retention through data-driven insights and workflows.
-
B.
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.
-
C.
Base CRM
Base CRM was a sales-focused customer relationship management platform known for its intuitive interface and mobile-first design, later integrated into Zendesk’s product suite after acquisition.
-
D.
Appirio
Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
-
E.
HubSpot
HubSpot is a leading customer relationship management (CRM) and marketing automation platform that helps businesses attract, engage, and retain customers.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7465248190947f9096e230e1c4 |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360ef69308190a11f37ddbf3bbc7b |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.