Triple
T13379504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Ditlev Bendixsen |
E319276
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bendixsen
Bendixsen is a surname most notably associated with Hans Ditlev Bendixsen, a prominent 19th-century Danish-American shipbuilder.
|
E1036765
|
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: Bendixsen | Statement: [Hans Ditlev Bendixsen, familyName, Bendixsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bendixsen Context triple: [Hans Ditlev Bendixsen, familyName, Bendixsen]
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Bendish
Bendish is an English surname historically associated with the family of Oliver Cromwell through his granddaughter Bridget Bendish.
-
C.
Lindberg
Lindberg is a small municipality in the Regen district of Bavaria, Germany, known for its location in the Bavarian Forest region.
-
D.
Bergensten
Bergensten is the surname of Jens Bergensten, the Swedish video game programmer and lead developer known for his work on Minecraft.
-
E.
Bischoffen
Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
- 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: Bendixsen Triple: [Hans Ditlev Bendixsen, familyName, Bendixsen]
Generated description
Bendixsen is a surname most notably associated with Hans Ditlev Bendixsen, a prominent 19th-century Danish-American shipbuilder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bendixsen Target entity description: Bendixsen is a surname most notably associated with Hans Ditlev Bendixsen, a prominent 19th-century Danish-American shipbuilder.
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Bendish
Bendish is an English surname historically associated with the family of Oliver Cromwell through his granddaughter Bridget Bendish.
-
C.
Lindberg
Lindberg is a small municipality in the Regen district of Bavaria, Germany, known for its location in the Bavarian Forest region.
-
D.
Bergensten
Bergensten is the surname of Jens Bergensten, the Swedish video game programmer and lead developer known for his work on Minecraft.
-
E.
Bischoffen
Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce56c6c8190adf4e19f6d1bc233 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268b09808190b4ffd1db72e1f1f1 |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f7277a73248190aa59a997d719cab8 |
completed | May 3, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7281e150081909a92201ceb30b8d6 |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 9, 2026, 9:33 p.m.