Triple
T15024765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Seidenberg |
E378180
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Seidenberg
Seidenberg is a German surname most notably associated with former professional ice hockey defenseman Dennis Seidenberg.
|
E1134312
|
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: Seidenberg | Statement: [Dennis Seidenberg, familyName, Seidenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seidenberg Context triple: [Dennis Seidenberg, familyName, Seidenberg]
-
A.
Alt Seidenberg
Alt Seidenberg is a village in present-day Poland historically known as the birthplace of the German Christian mystic and theologian Jakob Böhme.
-
B.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
-
C.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
D.
Seulberg
Seulberg is a district of the town of Friedrichsdorf in the Hochtaunus region of Hesse, Germany.
-
E.
Sundberg
Sundberg is a Swedish-origin surname borne by various notable individuals in fields such as entertainment, sports, 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: Seidenberg Triple: [Dennis Seidenberg, familyName, Seidenberg]
Generated description
Seidenberg is a German surname most notably associated with former professional ice hockey defenseman Dennis Seidenberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seidenberg Target entity description: Seidenberg is a German surname most notably associated with former professional ice hockey defenseman Dennis Seidenberg.
-
A.
Alt Seidenberg
Alt Seidenberg is a village in present-day Poland historically known as the birthplace of the German Christian mystic and theologian Jakob Böhme.
-
B.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
-
C.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
D.
Seulberg
Seulberg is a district of the town of Friedrichsdorf in the Hochtaunus region of Hesse, Germany.
-
E.
Sundberg
Sundberg is a Swedish-origin surname borne by various notable individuals in fields such as entertainment, sports, 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7de117c8190a1b9fa8d1602057e |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd499108190b803c6afc0fa00bc |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fea09ea0e081908daed335c734c8c0 |
completed | May 9, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea0fd72508190a413f5bb07d1df28 |
completed | May 9, 2026, 2:50 a.m. |
Created at: April 10, 2026, 2:56 a.m.