Triple
T8617976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Mount Cemetery |
E204088
|
entity |
| Predicate | hasBurial |
P196
|
FINISHED |
| Object | Enoch Pratt |
E208085
|
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: Enoch Pratt | Statement: [Green Mount Cemetery, hasBurial, Enoch Pratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enoch Pratt Context triple: [Green Mount Cemetery, hasBurial, Enoch Pratt]
-
A.
Enoch Pratt
chosen
Enoch Pratt was a prominent 19th-century Baltimore philanthropist and businessman best known for founding the Enoch Pratt Free Library system.
-
B.
James Mott
James Mott was a 19th-century American Quaker merchant and reformer known for his support of abolitionism and women’s rights alongside his wife, Lucretia Mott.
-
C.
Eli H. Janney
Eli H. Janney was a 19th-century American inventor best known for creating the automatic railroad car coupler that greatly improved rail safety and efficiency.
-
D.
Benjamin Enos
Benjamin Enos was a 19th-century New York politician who served in a key administrative role overseeing the state's canal system.
-
E.
Thomas Handasyd Perkins
Thomas Handasyd Perkins was a prominent 19th-century Boston merchant, investor, and philanthropist who played a key role in early American finance and infrastructure development.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4712e74c81908b607a0ab2f9a361 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbcb910881909088da53c6e31ae3 |
completed | April 2, 2026, 6:56 p.m. |
Created at: March 30, 2026, 6:26 p.m.