Triple
T10091067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Munsters |
E215344
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Yvonne De Carlo |
E145524
|
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: Yvonne De Carlo | Statement: [The Munsters, leadActor, Yvonne De Carlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvonne De Carlo Context triple: [The Munsters, leadActor, Yvonne De Carlo]
-
A.
Yvonne De Carlo
chosen
Yvonne De Carlo was a Canadian-American actress and singer best known for her roles in classic Hollywood films and as Lily Munster on the television series "The Munsters."
-
B.
Cheryl White
Cheryl White is a supporting character in the sports drama film "McFarland, USA," depicted as part of the community surrounding the high school cross-country team.
-
C.
Arlene Dahl
Arlene Dahl was an American film actress and former MGM contract star of the 1940s and 1950s, known for her glamorous screen presence and roles in Technicolor melodramas.
-
D.
Rose Marie
"Rose Marie" is a popular country and yodeling song best known as one of Slim Whitman’s signature hits.
-
E.
Tina Louise
Tina Louise is an American actress best known for playing the glamorous movie star Ginger Grant on the classic television sitcom "Gilligan's Island."
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05aa02081908fba02e7085c6d7c |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d30050fbec8190ab7807d64ab73e61 |
completed | April 6, 2026, 12:37 a.m. |
Created at: March 30, 2026, 9:01 p.m.