Triple
T23133327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Girotti |
E577238
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Lori Zwicklbauer |
—
|
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: Lori Zwicklbauer | Statement: [Mario Girotti, spouse, Lori Zwicklbauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lori Zwicklbauer Context triple: [Mario Girotti, spouse, Lori Zwicklbauer]
-
A.
Lori Zwicklbauer
chosen
Lori Zwicklbauer is best known as the wife of Italian actor and filmmaker Terence Hill.
-
B.
Lisa Lietzke
Lisa Lietzke is a character from the 1983 sports drama film "All the Right Moves," serving as the romantic interest of high school football player Stefen Djordjevic.
-
C.
Loralee Czuchna
Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
-
D.
Liz Cackowski
Liz Cackowski is an American comedy writer and actress known for her work on shows like Saturday Night Live and various film and television projects.
-
E.
Anne Ziegler
Anne Ziegler was a British soprano and actress best known for her popular duets and stage performances with her husband, tenor Webster Booth, during the mid-20th century.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e89cce881908727a94dbc00e031 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.