Triple
T9432590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorenza Izzo |
E227418
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Lorenza Izzo
Lorenza Izzo is a Chilean actress and model known for her roles in films such as "Knock Knock," "The Green Inferno," and "Once Upon a Time in Hollywood."
|
E806307
|
NE FINISHED |
How this triple was built (4 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: Lorenza Izzo | Statement: [Lorenza Izzo, name, Lorenza Izzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorenza Izzo Context triple: [Lorenza Izzo, name, Lorenza Izzo]
-
A.
Jolanda Benvenuti
Jolanda Benvenuti was an Italian film editor best known for her collaborations with director Roberto Rossellini during the mid-20th century.
-
B.
Orsola Buvoli
Orsola Buvoli was the wife of Vittorio Mussolini, the film producer and son of Italian dictator Benito Mussolini.
-
C.
Caterina Solazzi
Caterina Solazzi was the mother of Giovanni Maria Mastai-Ferretti, who later became Pope Pius IX.
-
D.
Margherita Dall’Aglio
Margherita Dall’Aglio was the wife of renowned Italian typographer and printer Giambattista Bodoni.
-
E.
Irene Morra
Irene Morra is a scholar and editor known for her work on literature and culture, including editing the volume "Road to Morocco."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lorenza Izzo Triple: [Lorenza Izzo, name, Lorenza Izzo]
Generated description
Lorenza Izzo is a Chilean actress and model known for her roles in films such as "Knock Knock," "The Green Inferno," and "Once Upon a Time in Hollywood."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorenza Izzo Target entity description: Lorenza Izzo is a Chilean actress and model known for her roles in films such as "Knock Knock," "The Green Inferno," and "Once Upon a Time in Hollywood."
-
A.
Jolanda Benvenuti
Jolanda Benvenuti was an Italian film editor best known for her collaborations with director Roberto Rossellini during the mid-20th century.
-
B.
Orsola Buvoli
Orsola Buvoli was the wife of Vittorio Mussolini, the film producer and son of Italian dictator Benito Mussolini.
-
C.
Caterina Solazzi
Caterina Solazzi was the mother of Giovanni Maria Mastai-Ferretti, who later became Pope Pius IX.
-
D.
Margherita Dall’Aglio
Margherita Dall’Aglio was the wife of renowned Italian typographer and printer Giambattista Bodoni.
-
E.
Irene Morra
Irene Morra is a scholar and editor known for her work on literature and culture, including editing the volume "Road to Morocco."
- F. None of above. chosen
Provenance (5 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e61a114819081fc4a2ad39c96ba |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15261b31881908c1059d704e56bf6 |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d1534f1d448190aec45eb76edf8ec9 |
completed | April 4, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d153c42a30819097279446e3db01b9 |
completed | April 4, 2026, 6:09 p.m. |
Created at: March 30, 2026, 7:49 p.m.