Triple
T10622767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norris Bradbury |
E250243
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | James Bradbury |
E250243
|
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: James Bradbury | Statement: [Norris Bradbury, child, James Bradbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Bradbury Context triple: [Norris Bradbury, child, James Bradbury]
-
A.
James Bradbury
chosen
James Bradbury is the son of American physicist and former Los Alamos Laboratory director Norris Bradbury.
-
B.
James Bradbury Jr.
James Bradbury Jr. was an American character actor of the early 20th century who appeared in numerous films during the silent and early sound eras.
-
C.
John Bradbury
John Bradbury is the son of American physicist and former Los Alamos Laboratory director Norris Bradbury.
-
D.
Edward Elmer Smith
Edward Elmer Smith was an American science fiction author best known for his pioneering space opera works, including the Lensman and Skylark series.
-
E.
E. L. M. Burns
E. L. M. Burns was a Canadian army officer and general who played a prominent role in international peacekeeping, notably serving as a senior commander in early United Nations operations.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7e5074819096668b53dcc9167a |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b908e788190bc9e4f327e871a7f |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 8:51 p.m.