Triple
T17965392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyla Ross |
E449190
|
entity |
| Predicate | turnedElite |
P20239
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Kyla Ross, turnedElite, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnedElite Context triple: [Kyla Ross, turnedElite, 2009]
-
A.
elite
chosen
Indicates that the subject belongs to a select, superior, or highly privileged subset within a larger group or category.
-
B.
turnedPro
Indicates that an individual transitioned from amateur status to professional status in a particular field or activity.
-
C.
eliteField
Indicates that the entity is associated with a highly selective or top-tier field, domain, or area of specialization.
-
D.
advancedThrough
Indicates that an entity has progressed or moved forward within, or as a result of, a particular medium, stage, process, or pathway.
-
E.
grandMaster
Indicates that one entity holds the highest authoritative or mastery status over a domain, discipline, or organization in relation to another entity.
- F. None of above.
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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b136e4088190ac97fd92dc84a4b9 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.