Triple
T9981359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolves |
E196457
|
entity |
| Predicate | retiredNumberHonors |
P559
|
FINISHED |
| Object | Malik Sealy |
E826996
|
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: Malik Sealy | Statement: [Wolves, retiredNumberHonors, Malik Sealy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malik Sealy Context triple: [Wolves, retiredNumberHonors, Malik Sealy]
-
A.
Malik Sealy
chosen
Malik Sealy was an American professional basketball player, best known as a standout forward at St. John’s University and later in the NBA, particularly with the Minnesota Timberwolves.
-
B.
Jalen McDaniels
Jalen McDaniels is an American professional basketball player and versatile forward known for his collegiate career at San Diego State before entering the NBA.
-
C.
Jamel Jones
Jamel Jones is a criminal figure known for his involvement with the Nine Trey Gangsta Bloods street gang.
-
D.
Ladarius Green
Ladarius Green is a former American football tight end who played in the NFL, most notably for the San Diego/Los Angeles Chargers and the Pittsburgh Steelers.
-
E.
Myles Mitchell
Myles Mitchell is the stepson of Dee Mitchell, a character from the television series "Moesha."
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bb3dc481909c65c37303e44037 |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257e888908190a7187e26ba025a44 |
completed | April 5, 2026, 12:39 p.m. |
Created at: March 30, 2026, 8:49 p.m.