Triple
T14228372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arista Networks |
E352683
|
entity |
| Predicate | roleOfJayshreeUllal |
P113297
|
FINISHED |
| Object | President and CEO |
—
|
LITERAL 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: President and CEO | Statement: [Arista Networks, roleOfJayshreeUllal, President and CEO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfJayshreeUllal Context triple: [Arista Networks, roleOfJayshreeUllal, President and CEO]
-
A.
roleOfJennifer Morris
Indicates that Jennifer Morris holds or performs a particular role, position, or function in relation to another entity or context.
-
B.
notableAlumnaRole
Indicates that a person, as a notable alumna, holds or has held a specific role or position associated with her alumni status.
-
C.
roleInRishiRichProject
Indicates that an entity holds or held a specific role or function within the Rishi Rich Project.
-
D.
notableAlumnaOccupation
Indicates that the occupation specified is the professional role or career for a person who is a notable alumna of a particular institution.
-
E.
notableFemaleMember
Indicates that an entity has a female member who is particularly prominent, distinguished, or noteworthy within that entity.
- F. None of above. chosen
Provenance (4 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:07 a.m.