Triple
T7095159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalen McDaniels |
E165305
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jalen |
E165305
|
NE 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: Jalen | Statement: [Jalen McDaniels, givenName, Jalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalen Context triple: [Jalen McDaniels, givenName, Jalen]
-
A.
Jahleel
Jahleel is a biblical figure known as one of the sons of Zebulun and a progenitor of a clan within the tribe of Israel.
-
B.
Kellen
Kellen is a masculine given name most notably associated with former NFL tight end and Hall of Famer Kellen Winslow.
-
C.
Jharrel Jerome
Jharrel Jerome is an American actor known for his breakout role in the film "Moonlight" and his Emmy-winning performance in the miniseries "When They See Us."
-
D.
Jalen McDaniels
chosen
Jalen McDaniels is an American professional basketball player and versatile forward known for his collegiate career at San Diego State before entering the NBA.
-
E.
Jamel Jones
Jamel Jones is a criminal figure known for his involvement with the Nine Trey Gangsta Bloods street gang.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5530f2081908ac969ddfa7e9b5a |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c9adce081908b571c64e5d8222f |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:41 p.m.