Triple
T2451264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemon Breeland |
E53708
|
entity |
| Predicate | engagedTo |
P17846
|
FINISHED |
| Object | George Tucker |
E267600
|
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: George Tucker | Statement: [Lemon Breeland, engagedTo, George Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Tucker Context triple: [Lemon Breeland, engagedTo, George Tucker]
-
A.
George Tucker
chosen
George Tucker is a charming, small-town lawyer and central love interest in the TV series "Hart of Dixie."
-
B.
Lovell Edgeworth
Lovell Edgeworth was a member of the prominent Anglo-Irish Edgeworth family, known primarily as a son of the inventor and educationalist Richard Lovell Edgeworth.
-
C.
John Jay
John Jay was an American statesman, diplomat, co-author of The Federalist Papers, first Chief Justice of the United States, and a key figure in the early formation of the U.S. government.
-
D.
Tapping Reeve
Tapping Reeve was an American lawyer and jurist best known for founding the Litchfield Law School, the first formal law school in the United States.
-
E.
Thomas Prosser
Thomas Prosser was a 19th-century British railway architect best known for designing major stations such as York railway station.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f402b48190b871b2475983af7e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17907f48819092f197ba14459b17 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:43 p.m.