Triple
T8724777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Bradley |
E207103
|
entity |
| Predicate | familyName |
P18
|
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: [Ed Bradley, familyName, Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bradley Context triple: [Ed Bradley, familyName, Bradley]
-
A.
Bradley
chosen
Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
-
B.
Bradley
Bradley is a locality in England historically associated with the life and death of the pioneering ironmaster John Wilkinson.
-
C.
Bradley
Bradley is a small unincorporated community located in Raleigh County, West Virginia, known primarily as a residential area near the city of Beckley.
-
D.
Bradley
Bradley is the commonly used short name for Bradley University, a private university located in Peoria, Illinois.
-
E.
Bradley
Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d1404948190bc45d14a1ddb1a7e |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2908fec08190a286a082060a47bc |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:36 p.m.