Triple
T4812298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfe |
E107098
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Wolff |
E101755
|
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: Wolff | Statement: [Wolfe, hasSpellingVariant, Wolff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolff Context triple: [Wolfe, hasSpellingVariant, Wolff]
-
A.
Wolff
chosen
Wolff is a German surname borne by numerous notable individuals across fields such as philosophy, science, and the arts.
-
B.
Wolfe
Wolfe is a surname most famously associated with British Army officer James Wolfe, known for his role in the Seven Years' War and the capture of Quebec.
-
C.
Mel Wulf
Mel Wulf was a prominent American civil liberties lawyer who served as legal director of the ACLU and was known for his work on landmark constitutional and free speech cases.
-
D.
Wallach
Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
-
E.
Wolthusen
Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7d168481908efd9d28b35e4bae |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dae0008819089c54a3815e578bc |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.