Triple
T18431634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitfield Home |
E450284
|
entity |
| Predicate | originalOwner |
P347
|
FINISHED |
| Object | Nathan Bryan Whitfield |
—
|
NE NERFINISHED |
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: Nathan Bryan Whitfield | Statement: [Whitfield Home, originalOwner, Nathan Bryan Whitfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Bryan Whitfield Context triple: [Whitfield Home, originalOwner, Nathan Bryan Whitfield]
-
A.
Nathan Bryan Whitfield
chosen
Nathan Bryan Whitfield was a 19th-century American architect and planter best known for designing the historic Whitfield Home (also known as Gaineswood) in Alabama.
-
B.
Andrew Morgan
Andrew Morgan is a British television director best known for his work on the classic science fiction series Doctor Who.
-
C.
Andrew Morgan
Andrew Morgan is a filmmaker best known for directing the documentary "The True Cost," which examines the global impact of the fast fashion industry.
-
D.
Peter Litchfield
Peter Litchfield is an individual notable enough to be recognized as a prominent bearer of the surname Litchfield.
-
E.
Ian Telfer
Ian Telfer is a Canadian mining executive and philanthropist known for his leadership in the resource industry and major donations to higher education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b1771788190b26afdf65e9de502 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 11:26 a.m.