Triple
T15990098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byron Deeter |
E387800
|
entity |
| Predicate | investedIn |
P17330
|
FINISHED |
| Object | PagerDuty |
E697162
|
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: PagerDuty | Statement: [Byron Deeter, investedIn, PagerDuty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PagerDuty Context triple: [Byron Deeter, investedIn, PagerDuty]
-
A.
PagerDuty
chosen
PagerDuty is a cloud-based incident management and alerting platform that helps IT and DevOps teams detect, triage, and resolve operational issues in real time.
-
B.
Opsgenie
Opsgenie is a cloud-based incident management and alerting platform that helps DevOps and IT teams respond quickly to critical outages and service disruptions.
-
C.
ServiceNow
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.
-
D.
Alertmanager
Alertmanager is a Prometheus ecosystem component that handles alert processing, deduplication, grouping, and routing to notification channels.
-
E.
Zoho Desk
Zoho Desk is a cloud-based customer service and help desk software platform designed to help businesses manage and streamline their support operations across multiple channels.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1cb1388190b1ebccc6705e5974 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.