Triple
T13933613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brad |
E335052
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Bradley |
E985830
|
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: [Brad, hasVariant, Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bradley Context triple: [Brad, hasVariant, Bradley]
-
A.
Bradley
Bradley is the given first name of American actor BD Wong, known for his roles in film, television, and theater.
-
B.
Bradley
chosen
Bradley is a masculine given name of Old English origin, traditionally meaning "broad meadow."
-
C.
Bradley
Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
-
D.
Bradley
Bradley is a locality in England historically associated with the life and death of the pioneering ironmaster John Wilkinson.
-
E.
Bradley
Bradley is the commonly used short name for Bradley University, a private university located in Peoria, Illinois.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c81e988190a5fd8e2d83e065fe |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.