Triple
T2468879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wall |
E55320
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Wall |
E10045
|
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: John Wall | Statement: [Wall, hasNotableBearer, John Wall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Wall Context triple: [Wall, hasNotableBearer, John Wall]
-
A.
John Wall
chosen
John Wall is an American professional basketball point guard best known for his All-Star tenure leading the Washington Wizards in the NBA.
-
B.
Bradley Beal
Bradley Beal is an American professional basketball shooting guard known as a prolific scorer and three-time NBA All-Star.
-
C.
Elton Brand
Elton Brand is a former American professional basketball player and NBA All-Star who starred at Duke University before becoming the first overall pick in the 1999 NBA Draft.
-
D.
Michael Carter-Williams
Michael Carter-Williams is an American professional basketball guard best known for winning the 2013–14 NBA Rookie of the Year award with the Philadelphia 76ers.
-
E.
Michael Beasley
Michael Beasley is an Anglican bishop and public health epidemiologist who serves as the Bishop of Bath and Wells in the Church of England.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd134684c8190bc62c0af22d75538 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af179f90e881909c09edb961b13a75 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:44 p.m.