Triple
T519822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertram Grosvenor Goodhue |
E10788
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Goodhue |
E10788
|
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: Goodhue | Statement: [Bertram Grosvenor Goodhue, familyName, Goodhue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodhue Context triple: [Bertram Grosvenor Goodhue, familyName, Goodhue]
-
A.
Goodhue
chosen
Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
-
B.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
-
C.
Wyandotte
Wyandotte is a popular American dual-purpose chicken breed valued for its good egg production, meat quality, and attractive laced plumage.
-
D.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
E.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a00a6c8190a62dc7c901c2f2ff |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a6feef408190b6e3f6fec95c36e7 |
completed | March 1, 2026, 8:52 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.