Triple
T1167744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edelman |
E24837
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
|
E133590
|
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: Edelmann | Statement: [Edelman, hasVariant, Edelmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edelmann Context triple: [Edelman, hasVariant, Edelmann]
-
A.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
B.
Dellner
Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
-
C.
Hartmann
Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Detlev
Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
- 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: Edelmann Triple: [Edelman, hasVariant, Edelmann]
Generated description
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edelmann Target entity description: Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
-
A.
Hammann
Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
-
B.
Dellner
Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
-
C.
Hartmann
Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Detlev
Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccef84481908864e819884af86c |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac668562788190ac5f8d081a46b2ee |
completed | March 7, 2026, 5:55 p.m. |
| NEDg | Description generation | batch_69ac67a07f28819096fcd7b767e07a63 |
completed | March 7, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac6826ef4c81909fc077bfba22b16f |
completed | March 7, 2026, 6:02 p.m. |
Created at: March 1, 2026, 7:45 p.m.