Triple
T20128863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bragg |
E490832
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bragg |
—
|
NE NERFINISHED |
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: Bragg | Statement: [John Bragg, familyName, Bragg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bragg Context triple: [John Bragg, familyName, Bragg]
-
A.
Bragg
chosen
Bragg is a surname most famously associated with physicists William Henry Bragg and his son Lawrence Bragg, pioneers of X-ray crystallography and Nobel Prize laureates.
-
B.
Barkla
Barkla is a surname most notably associated with Charles Glover Barkla, the British physicist and Nobel laureate recognized for his work on X-ray spectroscopy.
-
C.
Briggs
Briggs is a surname most prominently associated with Lance Briggs, a former NFL linebacker best known for his career with the Chicago Bears.
-
D.
Briggs
Briggs is a central character in Harold Pinter’s play "No Man’s Land," often portrayed as a menacing, enigmatic figure whose presence heightens the play’s tension and ambiguity.
-
E.
Bridgman
Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6675fe3d48190b0c20b483a951e68 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.