Triple
T9225570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Hofmann |
E221673
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hofmann
Hofmann is a German-language surname borne by numerous notable individuals across fields such as music, science, and the arts.
|
E785653
|
NE FINISHED |
How this triple was built (4 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: [Josef Hofmann, familyName, Hofmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hofmann Context triple: [Josef Hofmann, familyName, Hofmann]
-
A.
Hoffmann
Hoffmann is a common German surname borne by numerous notable figures in fields such as science, literature, music, and politics.
-
B.
Hoffman
Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
-
C.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
D.
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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hofmann Triple: [Josef Hofmann, familyName, Hofmann]
Generated description
Hofmann is a German-language surname borne by numerous notable individuals across fields such as music, science, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hofmann Target entity description: Hofmann is a German-language surname borne by numerous notable individuals across fields such as music, science, and the arts.
-
A.
Hoffmann
Hoffmann is a common German surname borne by numerous notable figures in fields such as science, literature, music, and politics.
-
B.
Hoffman
Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
-
C.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9dbd1481909f35a4bee8e0b450 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d066521f288190a54b1199284db7a4 |
completed | April 4, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_69d0678b89ac8190b807e1c3b457a503 |
completed | April 4, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0688d4c388190bb024b03cc86d08f |
completed | April 4, 2026, 1:25 a.m. |
Created at: March 30, 2026, 7:28 p.m.