Triple
T23121134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelan |
E576895
|
entity |
| Predicate | isVariantOf |
P455
|
FINISHED |
| Object | Kellen |
—
|
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: Kellen | Statement: [Kelan, isVariantOf, Kellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kellen Context triple: [Kelan, isVariantOf, Kellen]
-
A.
Kellen
chosen
Kellen is a masculine given name most notably associated with former NFL tight end and Hall of Famer Kellen Winslow.
-
B.
Kyler
Kyler is the first name of Kyler Murray, an American football quarterback in the NFL.
-
C.
Jalen
Jalen is a masculine given name that gained wider popularity in the United States in the 1990s, partly due to basketball player Jalen Rose.
-
D.
Caleb Dume
Caleb Dume is the birth name of Kanan Jarrus, a Jedi Padawan who survived Order 66 and later became a key member of the Ghost crew in the Star Wars Rebels series.
-
E.
Cavan Kendall
Cavan Kendall was a British actor known for his character roles in film, television, and theatre, including a supporting part in the crime drama "Sexy Beast."
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4f9be881908307838bfb5edc0c |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.