Triple
T2863892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley Beal |
E63389
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bradley |
E153144
|
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: Bradley | Statement: [Bradley Beal, givenName, Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bradley Context triple: [Bradley Beal, givenName, Bradley]
-
A.
Bradley
Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
-
B.
Bradley
chosen
Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
-
C.
Bradley
Bradley is a locality in England historically associated with the life and death of the pioneering ironmaster John Wilkinson.
-
D.
Bradley Gates
Bradley Gates is the son of Robert M. Gates, the former U.S. Secretary of Defense and Director of Central Intelligence.
-
E.
Ed Bradley
Ed Bradley was an acclaimed American broadcast journalist best known as a pioneering and long-serving correspondent on the CBS news magazine program "60 Minutes."
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfb853908190aa2fd492e9fa5e87 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01da030a88190b9e23a461695176f |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.