Triple
T2166790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eve Branson |
E46926
|
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: [Eve Branson, familyName, Branson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Branson Context triple: [Eve 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.
Twain Harte
Twain Harte is a small mountain resort town in California’s Sierra Nevada known for its pine forests, outdoor recreation, and proximity to Yosemite National Park.
-
E.
Cheyenne
Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeab223881908aaa2bc4f85329cc |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d9a74e081909d8945fe03c8d0fa |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.