Triple
T18648299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bessie Bellingrath |
E455861
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Walter Bellingrath |
—
|
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: Walter Bellingrath | Statement: [Bessie Bellingrath, associatedWith, Walter Bellingrath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Bellingrath Context triple: [Bessie Bellingrath, associatedWith, Walter Bellingrath]
-
A.
Walter Bellingrath
chosen
Walter Bellingrath was an American Coca-Cola bottling magnate and philanthropist best known for creating the famed Bellingrath Gardens and Home in Alabama.
-
B.
Walter Bolliger
Walter Bolliger is a Swiss engineer and entrepreneur best known as the co-founder of the renowned roller coaster manufacturing company Bolliger & Mabillard.
-
C.
Walter Wolfrum
Walter Wolfrum was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
-
D.
Karl Walter Lindenlaub
Karl Walter Lindenlaub is a German cinematographer known for his work on major Hollywood films, including the science fiction blockbuster "Independence Day."
-
E.
Walter Coblenz
Walter Coblenz was an American film producer best known for his work on the acclaimed political thriller "All the President’s Men."
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500f007c81908b1835569be913d7 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.