Triple
T16570993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Hoffman |
E402582
|
entity |
| Predicate | hasSurnameVariant |
P457
|
FINISHED |
| Object |
Hofman
Hofman is a surname of likely Germanic or Dutch origin borne by various individuals across different countries.
|
E1225072
|
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: Hofman | Statement: [Martin Hoffman, hasSurnameVariant, Hofman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hofman Context triple: [Martin Hoffman, hasSurnameVariant, Hofman]
-
A.
Hofmann
Hofmann is a German-language surname borne by numerous notable individuals across fields such as music, science, and the arts.
-
B.
Hoffman
Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
-
C.
Hoffmann
Hoffmann is a common German surname borne by numerous notable figures in fields such as science, literature, music, and politics.
-
D.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
E.
Hofmański
Hofmański is a Polish surname most notably borne by Piotr Hofmański, a prominent jurist and former president of the International Criminal Court.
- 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: Hofman Triple: [Martin Hoffman, hasSurnameVariant, Hofman]
Generated description
Hofman is a surname of likely Germanic or Dutch origin borne by various individuals across different countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hofman Target entity description: Hofman is a surname of likely Germanic or Dutch origin borne by various individuals across different countries.
-
A.
Hofmann
Hofmann is a German-language surname borne by numerous notable individuals across fields such as music, science, and the arts.
-
B.
Hoffman
Hoffman is a common German-origin surname borne by numerous notable individuals across fields such as business, entertainment, science, and politics.
-
C.
Hoffmann
Hoffmann is a common German surname borne by numerous notable figures in fields such as science, literature, music, and politics.
-
D.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
E.
Hofmański
Hofmański is a Polish surname most notably borne by Piotr Hofmański, a prominent jurist and former president of the International Criminal Court.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35958d49c8190b995188240fb355b |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da4b60c8190a682d20aa881792c |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a00805a84388190ac989129745e8234 |
completed | May 10, 2026, 12:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0080abae0c81908c827dced1b56aa6 |
completed | May 10, 2026, 12:57 p.m. |
Created at: April 10, 2026, 5:16 a.m.