Triple
T17507331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pottsgrove Manor |
E426354
|
entity |
| Predicate | significantPerson |
P643
|
FINISHED |
| Object | John Potts |
—
|
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: John Potts | Statement: [Pottsgrove Manor, significantPerson, John Potts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Potts Context triple: [Pottsgrove Manor, significantPerson, John Potts]
-
A.
John Potts
chosen
John Potts was an 18th-century ironmaster and founder of the town that became Pottstown, Pennsylvania.
-
B.
Jethro Pugh
Jethro Pugh was an American defensive tackle best known for his long and successful career with the Dallas Cowboys during the 1960s and 1970s.
-
C.
Frank Parrish
Frank Parrish is a fictional character portrayed by actor Tim Reid, likely in a film or television production.
-
D.
John Fagan
John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
-
E.
Elmer Booth
Elmer Booth was an early 20th-century American silent film actor known for his dynamic performances in pioneering gangster and crime dramas.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45258b73c81909db581d4f1d27921 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.