Triple
T1710172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Sebastian Welhaven |
E36963
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Welhaven
Welhaven is a Norwegian surname most notably associated with the 19th-century poet and critic Johan Sebastian Welhaven.
|
E204119
|
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: Welhaven | Statement: [Johan Sebastian Welhaven, familyName, Welhaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welhaven Context triple: [Johan Sebastian Welhaven, familyName, Welhaven]
-
A.
Woodhaven
Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
-
B.
Rowtown
Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
-
C.
Brighton Hill
Brighton Hill is a residential suburb and local community area within the town of Basingstoke in Hampshire, England.
-
D.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
-
E.
Vailsburg
Vailsburg is a primarily residential neighborhood in the West Ward of Newark, New Jersey, known for its diverse community and tree-lined streets.
- 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: Welhaven Triple: [Johan Sebastian Welhaven, familyName, Welhaven]
Generated description
Welhaven is a Norwegian surname most notably associated with the 19th-century poet and critic Johan Sebastian Welhaven.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Welhaven Target entity description: Welhaven is a Norwegian surname most notably associated with the 19th-century poet and critic Johan Sebastian Welhaven.
-
A.
Woodhaven
Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
-
B.
Rowtown
Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
-
C.
Brighton Hill
Brighton Hill is a residential suburb and local community area within the town of Basingstoke in Hampshire, England.
-
D.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
-
E.
Vailsburg
Vailsburg is a primarily residential neighborhood in the West Ward of Newark, New Jersey, known for its diverse community and tree-lined streets.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa631329088190a2ce8f755bd69fc7 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf46f51c8190bae3e47c97054188 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc1942da4819081fdcb4cc4b5f9f2 |
completed | March 8, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc225e1ec8190adbc075f44b82419 |
completed | March 8, 2026, 6:38 p.m. |
Created at: March 4, 2026, 7:30 p.m.