Triple
T383151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine |
E8723
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Katrina |
E37984
|
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: Katrina | Statement: [Catherine, hasVariant, Katrina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katrina Context triple: [Catherine, hasVariant, Katrina]
-
A.
Katrina
chosen
Katrina is a feminine given name of Dutch origin, notably borne by the character Katrina Van Tassel in Washington Irving’s "The Legend of Sleepy Hollow."
-
B.
Hurricane Katrina
Hurricane Katrina was a catastrophic 2005 Atlantic hurricane that caused widespread devastation along the U.S. Gulf Coast, particularly in New Orleans, due to extreme flooding and levee failures.
-
C.
Hurricane
"Hurricane" is a protest song by Bob Dylan that narrates and condemns the wrongful imprisonment of boxer Rubin "Hurricane" Carter.
-
D.
Hurricane
The Hurricane is a British single-seat fighter aircraft that played a crucial role for the Royal Air Force during World War II, particularly in the Battle of Britain.
-
E.
Yolanda
Yolanda is a feminine given name used in various cultures, often associated with figures in the arts, activism, and public life.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec40ff8c81909306eb2dfe1512af |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe9418348190a1ffb3fd3e3f8048 |
completed | March 1, 2026, 8:53 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.