Triple
T20011312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Point Cemetery |
E494594
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Rowland G. Hazard |
—
|
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: Rowland G. Hazard | Statement: [Swan Point Cemetery, burialPlaceOf, Rowland G. Hazard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rowland G. Hazard Context triple: [Swan Point Cemetery, burialPlaceOf, Rowland G. Hazard]
-
A.
Rowland G. Hazard
chosen
Rowland G. Hazard was a 19th-century American industrialist, politician, and social reformer from Rhode Island known for his work in manufacturing, anti-slavery efforts, and public service.
-
B.
Henry T. Hazard
Henry T. Hazard was a 19th-century American lawyer and politician who served as mayor of Los Angeles, California.
-
C.
Philip DeGuere
Philip DeGuere was an American television producer, writer, and director best known for his work on popular series in the 1970s and 1980s.
-
D.
John Havens
John Havens is an American businessman and former Citigroup executive who co-founded the investment firm Old Lane Partners.
-
E.
Carl Hovey
Carl Hovey was an American magazine editor and writer active in the early 20th century, known for his work in literary and popular periodicals.
- 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.