Triple
T20667321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st Baron Byron |
E507925
|
entity |
| Predicate | hasDescendant |
P3654
|
FINISHED |
| Object | Lord Byron |
—
|
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: Lord Byron | Statement: [1st Baron Byron, hasDescendant, Lord Byron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Byron Context triple: [1st Baron Byron, hasDescendant, Lord Byron]
-
A.
Lord Byron
chosen
Lord Byron was a leading British Romantic poet renowned for his flamboyant lifestyle and works such as "Childe Harold's Pilgrimage" and "Don Juan."
-
B.
George Frederick William Byron, 9th Baron Byron
George Frederick William Byron, 9th Baron Byron, was a British peer who inherited the Byron barony in the 19th century and was a relative and successor of the poet Lord Byron.
-
C.
Byron
Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
-
D.
Byron
Byron is a small city in central Georgia, United States, known for its historic downtown and location along major transportation routes near Macon.
-
E.
Byron
Byron is a surname of English origin borne by various notable individuals across fields such as literature, politics, and the arts.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c4c4608190ae17da4a59e5ae80 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.