Triple
T2258516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norris Bradbury |
E49781
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
John Bradbury
John Bradbury is the son of American physicist and former Los Alamos Laboratory director Norris Bradbury.
|
E252504
|
NE FINISHED |
How this triple was built (4 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 Bradbury | Statement: [Norris Bradbury, hasChild, John Bradbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bradbury Context triple: [Norris Bradbury, hasChild, John Bradbury]
-
A.
James Bradbury
James Bradbury is the son of American physicist and former Los Alamos Laboratory director Norris Bradbury.
-
B.
R. B. Woodward
R. B. Woodward was a pioneering American organic chemist renowned for his masterful syntheses of complex natural products and awarded the 1965 Nobel Prize in Chemistry.
-
C.
John Broome
John Broome is a British philosopher and economist known for his influential work on ethics, rationality, and climate change.
-
D.
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.
-
E.
John Watts
John Watts was an 18th-century London printer and publisher known for producing notable literary and theatrical works.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Bradbury Triple: [Norris Bradbury, hasChild, John Bradbury]
Generated description
John Bradbury is the son of American physicist and former Los Alamos Laboratory director Norris Bradbury.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Bradbury Target entity description: John Bradbury is the son of American physicist and former Los Alamos Laboratory director Norris Bradbury.
-
A.
James Bradbury
James Bradbury is the son of American physicist and former Los Alamos Laboratory director Norris Bradbury.
-
B.
R. B. Woodward
R. B. Woodward was a pioneering American organic chemist renowned for his masterful syntheses of complex natural products and awarded the 1965 Nobel Prize in Chemistry.
-
C.
John Broome
John Broome is a British philosopher and economist known for his influential work on ethics, rationality, and climate change.
-
D.
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.
-
E.
John Watts
John Watts was an 18th-century London printer and publisher known for producing notable literary and theatrical works.
- F. None of above. chosen
Provenance (5 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc15ad06c8190b6d0babc17015787 |
completed | March 7, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f067f208190a399e2b1a83badd1 |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7faa64e48190b82e48165a931598 |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae801a87a88190ae461ca164b358a4 |
completed | March 9, 2026, 8:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.