Triple
T13211044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandi's Wedding |
E314489
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Todd Tucker |
E314492
|
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: Todd Tucker | Statement: [Kandi's Wedding, starring, Todd Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Tucker Context triple: [Kandi's Wedding, starring, Todd Tucker]
-
A.
Todd Tucker
chosen
Todd Tucker is an American television producer and reality TV personality best known for his appearances on "The Real Housewives of Atlanta" alongside his wife, Kandi Burruss.
-
B.
Ron Torbert
Ron Torbert is an American NFL official who has served as a referee in multiple high-profile games, including Super Bowl LVI.
-
C.
Tom Raper
Tom Raper was an American businessman and prominent Indiana RV dealer known for his large-scale dealership and philanthropic contributions, particularly in education.
-
D.
Kent Rogers
Kent Rogers was an American voice actor best known for his work in classic Warner Bros. cartoons during the 1940s.
-
E.
Mick Rogers
Mick Rogers is an Australian former professional road cyclist known for his time-trialling strength and multiple world championship titles in the team time trial.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff1c9f348190aae39073bdcee84d |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:17 p.m.