Triple
T21921346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Castellaneta |
E541322
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Deb Lacusta |
—
|
NE NERFINISHED |
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: Deb Lacusta | Statement: [Dan Castellaneta, spouse, Deb Lacusta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deb Lacusta Context triple: [Dan Castellaneta, spouse, Deb Lacusta]
-
A.
Deb Lacusta
chosen
Deb Lacusta is an American comedy writer and actress best known for her work on "The Simpsons" and her long-term creative partnership with her husband, Dan Castellaneta.
-
B.
Jill Latiano
Jill Latiano is an American actress, dancer, and former model known for her roles in television series such as "It's Always Sunny in Philadelphia."
-
C.
Lisa Mordente
Lisa Mordente is an American actress, singer, dancer, and choreographer known for her work on Broadway and in film and television.
-
D.
Jocelyn Lane
Jocelyn Lane is a British-born actress and model best known for her film roles in the 1950s and 1960s, including appearances in adventure and comedy movies.
-
E.
Jane Siberry
Jane Siberry is a Canadian singer-songwriter known for her eclectic, art-pop compositions and distinctive, ethereal vocal style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233c29008190b84ae551b14eb2db |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.