Triple
T20011309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Point Cemetery |
E494594
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Nicholas Brown Jr. |
—
|
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: Nicholas Brown Jr. | Statement: [Swan Point Cemetery, burialPlaceOf, Nicholas Brown Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Brown Jr. Context triple: [Swan Point Cemetery, burialPlaceOf, Nicholas Brown Jr.]
-
A.
Nicholas Brown Jr.
chosen
Nicholas Brown Jr. was an American merchant, philanthropist, and namesake benefactor of Brown University in Providence, Rhode Island.
-
B.
Nicolas Brown
Nicolas Brown is a film producer known for his work on the historical comedy-drama "Hyde Park on Hudson."
-
C.
Nicholas Edward Brown
Nicholas Edward Brown was a British botanist known for his extensive work on succulent plants and contributions to the taxonomy of the Aizoaceae family.
-
D.
O. Nicholas Brown
O. Nicholas Brown is an editor known for his work on the publication titled "The Accused."
-
E.
Nicholas Butt
Nicholas Butt is a retired English footballer best known for his midfield role in Manchester United's successful 1990s and early 2000s teams and later work as a coach and academy director.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662362df48190abf16129eea39985 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:33 p.m.