Triple
T21577656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rote |
E532440
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Kyle Rote |
—
|
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: Kyle Rote | Statement: [Rote, usedBy, Kyle Rote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Rote Context triple: [Rote, usedBy, Kyle Rote]
-
A.
Kyle Rote
chosen
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
B.
Tobin Rote
Tobin Rote was an American professional quarterback known for leading the Detroit Lions and Green Bay Packers in the 1950s and for his strong-armed, hard-nosed style of play.
-
C.
Ryan Brant
Ryan Brant was an American businessman best known as the founding CEO of video game publisher Take-Two Interactive, the company behind major franchises like Grand Theft Auto.
-
D.
Kyle Scheible
Kyle Scheible is the aloof, rebellious musician and love interest in the coming-of-age film "Lady Bird."
-
E.
Ryan Dusick
Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb59cee08190aae55ad6e2a4e077 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 16, 2026, 6:31 p.m.