Triple
T19659154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake LaTurner |
E472031
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | LaTurner |
—
|
NE NERFINISHED |
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: LaTurner | Statement: [Jake LaTurner, familyName, LaTurner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaTurner Context triple: [Jake LaTurner, familyName, LaTurner]
-
A.
Turner
Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
-
B.
Andre Turner
Andre Turner is an American former professional basketball player and coach best known for his standout collegiate career at the University of Memphis and subsequent NBA and international playing career.
-
C.
Otha Turner
Otha Turner was an American fife player and bandleader renowned for preserving and popularizing the North Mississippi hill country fife-and-drum blues tradition.
-
D.
Jordan Turner
Jordan Turner is the 911 emergency call center operator portrayed by Halle Berry in the 2013 thriller film "The Call."
-
E.
Jake LaTurner
chosen
Jake LaTurner is a Republican politician and U.S. Representative from Kansas who previously served as the Kansas State Treasurer and in the Kansas Senate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641485ce481908b3860fa5e3a9f6e |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.