Triple
T16098699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shotz Brewery |
E390555
|
entity |
| Predicate | employerOfFictional |
P76778
|
FINISHED |
| Object | Laverne DeFazio |
E222504
|
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: Laverne DeFazio | Statement: [Shotz Brewery, employerOfFictional, Laverne DeFazio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laverne DeFazio Context triple: [Shotz Brewery, employerOfFictional, Laverne DeFazio]
-
A.
Laverne DeFazio
chosen
Laverne DeFazio is a tough, wisecracking Milwaukee brewery worker and one of the two main characters on the classic American sitcom "Laverne & Shirley."
-
B.
Amy Lofgren
Amy Lofgren is a music producer best known for her work on the album "Blue with Lou."
-
C.
Katharine Daly
Katharine Daly was the wife of early 20th-century Major League Baseball shortstop Ray Chapman, who played for the Cleveland Indians.
-
D.
Connie Snyder
Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
-
E.
Ann Kirkpatrick
Ann Kirkpatrick is an American politician and attorney best known for serving multiple terms as a U.S. Representative from Arizona.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6672848190922b5ebb90e18947 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec4d9808190a3d1bfc8f3d73168 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.