Triple
T9258463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laverne DeFazio |
E222504
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Shirley Feeney |
E390548
|
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: Shirley Feeney | Statement: [Laverne DeFazio, friendOf, Shirley Feeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Feeney Context triple: [Laverne DeFazio, friendOf, Shirley Feeney]
-
A.
Shirley Feeney
chosen
Shirley Feeney is a cheerful, optimistic Milwaukee brewery worker and one of the two titular roommates in the classic American sitcom "Laverne & Shirley."
-
B.
Judy Finnigan
Judy Finnigan is a British television presenter and author best known for co-hosting daytime shows such as "This Morning" and "Richard & Judy" alongside her husband Richard Madeley.
-
C.
Molly Lamont
Molly Lamont was a British-born film actress best known for her supporting roles in Hollywood comedies and dramas of the 1930s and 1940s.
-
D.
Hattie Maloney
Hattie Maloney is the brash, wisecracking nightclub singer who serves as the central comic heroine of the musical "Panama Hattie."
-
E.
Dorys Madden
Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0714317481908405f857a4f49e74 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1d943408190b3c13d8aa2473ee8 |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:32 p.m.