Triple
T9801604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson Bethel |
E237849
|
entity |
| Predicate | portrayedIn |
P626
|
FINISHED |
| Object | Hart of Dixie |
E46503
|
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: Hart of Dixie | Statement: [Wilson Bethel, portrayedIn, Hart of Dixie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hart of Dixie Context triple: [Wilson Bethel, portrayedIn, Hart of Dixie]
-
A.
Hart of Dixie
chosen
Hart of Dixie is an American comedy-drama television series about a New York doctor who moves to a small town in Alabama, blending fish-out-of-water humor with Southern charm and romance.
-
B.
Heart of Dixie
Heart of Dixie is a popular nickname for the U.S. state of Alabama, reflecting its central role in the history and culture of the American South.
-
C.
Queen of the South
Queen of the South is the traditional nickname for the Scottish town of Dumfries, reflecting its historic prominence in the south of Scotland.
-
D.
Queen of the South
Queen of the South is a crime drama television series that follows a woman's rise from poverty to power within a Mexican drug cartel.
-
E.
Dusty Bottoms
Dusty Bottoms is one of the three bumbling, out-of-work silent film actors who become accidental heroes in the comedy film "Three Amigos."
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eac78b1881908e77c3678f98fac9 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:29 p.m.