Triple
T8728795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clare Sarah Branson |
E207198
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Branson |
E46926
|
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: Branson | Statement: [Clare Sarah Branson, familyName, Branson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Branson Context triple: [Clare Sarah Branson, familyName, Branson]
-
A.
Branson
chosen
Branson is the surname of British entrepreneur and Virgin Group founder Richard Branson.
-
B.
Branson, Missouri
Branson, Missouri is a popular tourist city in the Ozark Mountains known for its live entertainment theaters, family attractions, and outdoor recreation.
-
C.
Fort Morgan
Fort Morgan is a historic 19th-century masonry fort on Mobile Bay in Alabama, best known for its role in the American Civil War, particularly the Battle of Mobile Bay.
-
D.
Westminster–Branson
Westminster–Branson is a residential neighbourhood in the north end of Toronto, Ontario, known for its diverse community, high-rise apartments, and proximity to parks and ravines.
-
E.
Branson, Colorado
Branson, Colorado is a small rural town in southeastern Colorado known for its ranching community and proximity to the New Mexico border.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d19fdc88190860e0c9c93ab79ce |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2923abc48190a5b6027c2e4f1db7 |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:37 p.m.