Triple
T21615050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarrett |
E533415
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jarret |
—
|
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: Jarret | Statement: [Jarrett, hasVariant, Jarret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jarret Context triple: [Jarrett, hasVariant, Jarret]
-
A.
Jarrett
chosen
Jarrett is a surname most prominently associated with Valerie Jarrett, a senior advisor to former U.S. President Barack Obama and influential figure in American politics.
-
B.
Jared Harper
Jared Harper is an American professional basketball player best known as the dynamic point guard who helped lead Auburn University to the 2019 NCAA Final Four.
-
C.
Jarret Myer
Jarret Myer is a music industry executive best known as a co-founder of the influential hip-hop label Rawkus Records.
-
D.
Garrett McNeil
Garrett McNeil is a sarcastic, wheelchair-using Cloud 9 employee who serves as the laid-back, wisecracking announcer and one of the central ensemble characters on the sitcom "Superstore."
-
E.
Jason Jarrett
Jason Jarrett is an American former stock car racing driver who competed in NASCAR and is the son of NASCAR champion Dale Jarrett.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba9aca48190b5180eefd61a9fdc |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.