Triple
T9854031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakfast of Champions |
E239539
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Vicki Lewis |
E445363
|
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: Vicki Lewis | Statement: [Breakfast of Champions, hasCastMember, Vicki Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicki Lewis Context triple: [Breakfast of Champions, hasCastMember, Vicki Lewis]
-
A.
Vicki Lewis
chosen
Vicki Lewis is an American actress and singer best known for her comedic television roles and voice work in animated films.
-
B.
Vicki Gill
Vicki Gill is a costume designer known for her work on the film "Sid and Nancy."
-
C.
Vicki Carr
Vicki Carr is an American pop and easy-listening singer known for her powerful vocals and success in both English- and Spanish-language music, particularly in the 1960s and 1970s.
-
D.
Vicki Anderson
Vicki Anderson is an American soul and funk singer best known for her work with James Brown and the J.B.'s in the 1960s and 1970s.
-
E.
Vicki Anderson
Vicki Anderson is a fictional character from the 1991 romantic comedy film "The Marrying Man."
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98801deb8819092a45193078f09b4 |
completed | April 10, 2026, 11:30 p.m. |
Created at: March 30, 2026, 8:34 p.m.