Triple
T7749257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brock |
E175712
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Brocke
Brocke is a variant form of the given name Brock, typically used as a masculine first name.
|
E686301
|
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: Brocke | Statement: [Brock, hasVariant, Brocke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brocke Context triple: [Brock, hasVariant, Brocke]
-
A.
Bocksberg
Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
-
B.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
C.
Festungsberg
Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
-
D.
Großer Rettenstein
Großer Rettenstein is a prominent mountain peak in the Austrian Tyrol, known for its striking rocky summit and panoramic views over the surrounding Kitzbühel Alps.
-
E.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
- 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: Brocke Triple: [Brock, hasVariant, Brocke]
Generated description
Brocke is a variant form of the given name Brock, typically used as a masculine first name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brocke Target entity description: Brocke is a variant form of the given name Brock, typically used as a masculine first name.
-
A.
Bocksberg
Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
-
B.
Erzhausen
Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
-
C.
Festungsberg
Festungsberg is a prominent hill in Salzburg, Austria, best known as the site of the medieval Hohensalzburg Fortress overlooking the city.
-
D.
Großer Rettenstein
Großer Rettenstein is a prominent mountain peak in the Austrian Tyrol, known for its striking rocky summit and panoramic views over the surrounding Kitzbühel Alps.
-
E.
Aegidienberg
Aegidienberg is a district of the town of Bad Honnef in North Rhine-Westphalia, Germany, known for its scenic location in the Siebengebirge region.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b13af08190b110104fe96ef91e |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be53b3788190a850ce1aaaac3aaa |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8c235b1748190b6c17c5975e2eb9b |
completed | March 29, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c2f1dd508190853065d9e4e331b2 |
completed | March 29, 2026, 6:13 a.m. |
Created at: March 27, 2026, 4:08 p.m.