Triple
T20983558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland Abbe |
E516830
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Abbe |
—
|
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: Abbe | Statement: [Cleveland Abbe, familyName, Abbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abbe Context triple: [Cleveland Abbe, familyName, Abbe]
-
A.
Abbe
chosen
Abbe is a surname most notably associated with Cleveland Abbe, a pioneering American meteorologist known as the “father of the U.S. Weather Bureau.”
-
B.
Abbé Vogler
Abbé Vogler was an influential 18th–19th century German composer, theorist, and music teacher known for his innovations in harmony and for mentoring prominent Romantic composers.
-
C.
Labbé
Labbé is a French-origin surname borne by various notable individuals, including Canadian Olympic soccer goalkeeper Stephanie Labbé.
-
D.
Ambroise
Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
-
E.
Albertin
Albertin is a given name, typically a variant of Albertine, used as a personal name in some European languages.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe1474c8190912b90da0973f99f |
completed | April 21, 2026, 4:24 a.m. |
Created at: April 16, 2026, 1:48 p.m.