Triple
T2389506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orestes Brownson |
E48907
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brownson |
E81105
|
NE FINISHED |
How this triple was built (2 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: Brownson | Statement: [Orestes Brownson, familyName, Brownson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brownson Context triple: [Orestes Brownson, familyName, Brownson]
-
A.
Brownson
chosen
Brownson is the namesake of the undersea Brownson Deep, likely a notable individual after whom this oceanic feature was designated.
-
B.
William Welles Bosworth
William Welles Bosworth was an American architect best known for his Beaux-Arts–influenced designs for prominent estates and institutional buildings in the early 20th century.
-
C.
Thomas Melville
Thomas Melville was a brother of American novelist Herman Melville, known primarily through his connection to the famous author and the Melville family history.
-
D.
John Mead Howells
John Mead Howells was an American architect best known for his influential skyscraper designs in the early 20th century and his role in shaping Chicago’s and New York’s urban skylines.
-
E.
Stevens
Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7de1478819082238e8b8f88ed06 |
completed | March 7, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3d2ad588190a2cf3adab6a9404d |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.