Triple
T2402142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Donahoe |
E47791
|
entity |
| Predicate | boardMemberOf |
P10
|
FINISHED |
| Object | ServiceNow |
E59295
|
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: ServiceNow | Statement: [John Donahoe, boardMemberOf, ServiceNow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ServiceNow Context triple: [John Donahoe, boardMemberOf, ServiceNow]
-
A.
ServiceNow
chosen
ServiceNow is a cloud-based software company best known for its enterprise workflow and IT service management platform that helps organizations automate and streamline business processes.
-
B.
Zendesk
Zendesk is a customer service and engagement software company best known for its cloud-based help desk and support ticketing solutions used by businesses worldwide.
-
C.
Appirio
Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
-
D.
Jira
Jira is a widely used project and issue tracking platform, especially popular among software development teams for managing tasks, bugs, and agile workflows.
-
E.
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.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8f623908190875fdbc95c944f33 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf3d44b48190aa405ee612cdf57c |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:57 p.m.