Triple
T37149990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ava Labs |
E920336
|
entity |
| Predicate | roleOfEminGünSirer |
P191622
|
FINISHED |
| Object | co-founder 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: co-founder and CEO | Statement: [Ava Labs, roleOfEminGünSirer, co-founder and CEO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfEminGünSirer Context triple: [Ava Labs, roleOfEminGünSirer, co-founder and CEO]
-
A.
emir
Indicates that an entity holds the title or role of emir (a ruler, commander, or leader) in relation to another entity or context.
-
B.
OttomanRole
Indicates that an entity holds or held a specific role, position, or function within the Ottoman Empire.
-
C.
OttomanCommander
Indicates that an entity serves in the role of a military commander within the Ottoman Empire.
-
D.
grandVizier
Indicates that one entity holds the position of grand vizier in relation to another, typically as the chief minister or highest-ranking advisor to a ruler.
-
E.
currentEmir
Indicates that the subject is the person who currently holds the title and role of emir (ruler) of a specified polity or region.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.