Triple
T1335407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William H. Foege |
E28736
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Foege |
E28736
|
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: Foege | Statement: [William H. Foege, familyName, Foege]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foege Context triple: [William H. Foege, familyName, Foege]
-
A.
Foege
chosen
Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
-
B.
Foy
Foy is a vain and arrogant dandy in the comedy film "A Million Ways to Die in the West," serving as the smug romantic rival to the protagonist.
-
C.
Balfe
Balfe is a surname of Irish origin borne by various notable individuals in fields such as music, acting, and politics.
-
D.
Wolfe
Wolfe is a surname most famously associated with British Army officer James Wolfe, known for his role in the Seven Years' War and the capture of Quebec.
-
E.
Hoyte
Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1eb119881909dd5fbf728d9e8ba |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62b9bd081909dbe22cbea03f21f |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:55 p.m.