Triple
T1479529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leesburg |
E30919
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object | Thomas Lee |
E132774
|
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: Thomas Lee | Statement: [Leesburg, namedFor, Thomas Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Lee Context triple: [Leesburg, namedFor, Thomas Lee]
-
A.
Thomas Lee
chosen
Thomas Lee was an influential 18th-century Virginia planter, politician, and colonial leader, best known as the founder of the powerful Lee family dynasty in early America.
-
B.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
C.
Tom Lee
Tom Lee was an African American riverworker and local hero from Memphis, Tennessee, celebrated for rescuing dozens of passengers from a sinking steamboat on the Mississippi River in 1925.
-
D.
James Rogers
James Rogers is a common personal name shared by numerous individuals across various fields, including politics, academia, sports, and the arts.
-
E.
Frank Richard Wells
Frank Richard Wells was a son of the famed English writer H. G. Wells.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6739d2481909ea8d8e075f62cf3 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6085199c8190868aef3c28842d4e |
completed | March 8, 2026, 11:41 a.m. |
Created at: March 1, 2026, 8:11 p.m.