Triple
T15989920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumo Logic |
E387795
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Kumar Saurabh
Kumar Saurabh is a technology entrepreneur best known as a co-founder of the cloud-based machine data analytics company Sumo Logic.
|
E1190442
|
NE FINISHED |
How this triple was built (4 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: Kumar Saurabh | Statement: [Sumo Logic, foundedBy, Kumar Saurabh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumar Saurabh Context triple: [Sumo Logic, foundedBy, Kumar Saurabh]
-
A.
Saurabh Jha
Saurabh Jha is an astrophysicist known for his work on high-redshift supernovae and their use in studying cosmic expansion and dark energy.
-
B.
Abhishek Verma
Abhishek Verma is a computer scientist best known as a co-creator of Google Borg, the large-scale cluster management and scheduling system that inspired Kubernetes.
-
C.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
D.
Rishub Jain
Rishub Jain is a researcher who contributed as a co-author to the influential 2021 Nature paper by Jumper et al. on the AlphaFold protein structure prediction system.
-
E.
Jaideep Ahlawat
Jaideep Ahlawat is an Indian actor known for his powerful character roles in films and web series such as "Gangs of Wasseypur," "Raazi," and "Paatal Lok."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kumar Saurabh Triple: [Sumo Logic, foundedBy, Kumar Saurabh]
Generated description
Kumar Saurabh is a technology entrepreneur best known as a co-founder of the cloud-based machine data analytics company Sumo Logic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kumar Saurabh Target entity description: Kumar Saurabh is a technology entrepreneur best known as a co-founder of the cloud-based machine data analytics company Sumo Logic.
-
A.
Saurabh Jha
Saurabh Jha is an astrophysicist known for his work on high-redshift supernovae and their use in studying cosmic expansion and dark energy.
-
B.
Abhishek Verma
Abhishek Verma is a computer scientist best known as a co-creator of Google Borg, the large-scale cluster management and scheduling system that inspired Kubernetes.
-
C.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
D.
Rishub Jain
Rishub Jain is a researcher who contributed as a co-author to the influential 2021 Nature paper by Jumper et al. on the AlphaFold protein structure prediction system.
-
E.
Jaideep Ahlawat
Jaideep Ahlawat is an Indian actor known for his powerful character roles in films and web series such as "Gangs of Wasseypur," "Raazi," and "Paatal Lok."
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69ffcf9d6c5c8190b10abdf70aed7ddf |
completed | May 10, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd96de9288190ab1727e7864dcaa6 |
completed | May 10, 2026, 1:03 a.m. |
Created at: April 10, 2026, 4:54 a.m.