Triple
T2327686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Byron Nelson Jr. |
E48326
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Byron |
E25295
|
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: Byron | Statement: [John Byron Nelson Jr., hasMiddleName, Byron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byron Context triple: [John Byron Nelson Jr., hasMiddleName, Byron]
-
A.
Byron
chosen
Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
-
B.
Lord Byron
Lord Byron was a leading British Romantic poet renowned for his flamboyant lifestyle and works such as "Childe Harold's Pilgrimage" and "Don Juan."
-
C.
Lady Byron
Lady Byron, born Annabella Milbanke, was a British aristocrat and mathematician best known as the wife of poet Lord Byron and the mother of computing pioneer Ada Lovelace.
-
D.
Sir John Byron
Sir John Byron was an English nobleman and politician of the 16th century, notable as an ancestor of the poet Lord Byron and a prominent member of the Byron family of Nottinghamshire.
-
E.
Shelley
Shelley is the surname of Mary Shelley, the English novelist best known as the author of the Gothic classic "Frankenstein."
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc64c7f1881909b0d847f7782e803 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9615f000819092f9dc4700998b25 |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:50 p.m.