Triple
T17189122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | earMUSIC |
E417181
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object |
Edel AG
Edel AG is a German independent media company best known for its music, book, and entertainment publishing and distribution activities.
|
E1255656
|
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: Edel AG | Statement: [earMUSIC, parentOrganization, Edel AG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edel AG Context triple: [earMUSIC, parentOrganization, Edel AG]
-
A.
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
-
B.
Brugg AG
Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
-
C.
Hechtel-Eksel
Hechtel-Eksel is a municipality in the Belgian province of Limburg, known for its extensive forests, nature reserves, and role as a gateway to the Hoge Kempen and Bosland natural areas.
-
D.
Aral AG
Aral AG is a major German brand of fuel stations and petroleum products, widely recognized for its network of service stations across Germany.
-
E.
C. Lorenz AG
C. Lorenz AG was a German electronics and communications company known for pioneering radio, radar, and navigation systems, including the influential Lorenz beam landing aid.
- 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: Edel AG Triple: [earMUSIC, parentOrganization, Edel AG]
Generated description
Edel AG is a German independent media company best known for its music, book, and entertainment publishing and distribution activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edel AG Target entity description: Edel AG is a German independent media company best known for its music, book, and entertainment publishing and distribution activities.
-
A.
Edelmann
Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
-
B.
Brugg AG
Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
-
C.
Hechtel-Eksel
Hechtel-Eksel is a municipality in the Belgian province of Limburg, known for its extensive forests, nature reserves, and role as a gateway to the Hoge Kempen and Bosland natural areas.
-
D.
Aral AG
Aral AG is a major German brand of fuel stations and petroleum products, widely recognized for its network of service stations across Germany.
-
E.
C. Lorenz AG
C. Lorenz AG was a German electronics and communications company known for pioneering radio, radar, and navigation systems, including the influential Lorenz beam landing aid.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d986b60819085c515101cfe65fe |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd0e1448190a9c0eadc7a8a2f6a |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016193089081909d4093b99de4890b |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01622d24d08190b9da770a31edcc5e |
completed | May 11, 2026, 4:59 a.m. |
Created at: April 10, 2026, 5:37 a.m.