Triple
T3780413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoffman |
E85402
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hofmann |
E85402
|
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: Hofmann | Statement: [Hoffman, hasVariant, Hofmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hofmann Context triple: [Hoffman, hasVariant, Hofmann]
-
A.
Hoffman
chosen
Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
-
B.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
C.
Otto Hofmann
Otto Hofmann was a high-ranking SS official and head of the SS Race and Settlement Main Office who played a role in implementing Nazi racial policies during the Holocaust.
-
D.
Dom Hofmann
Dom Hofmann is an American entrepreneur and software developer best known as a co-founder of the short-form video platform Vine and later for creating the NFT project Loot.
-
E.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3d84d7881909828903896b3cb7f |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f040676c8190aa3a7952a9d6f62b |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:12 p.m.