Triple
T16339413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il Postino |
E396756
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Linda Moretti
Linda Moretti is an actress best known for her role in the acclaimed Italian film "Il Postino" ("The Postman").
|
E1210938
|
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: Linda Moretti | Statement: [Il Postino, starring, Linda Moretti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Moretti Context triple: [Il Postino, starring, Linda Moretti]
-
A.
Laura Moretti
Laura Moretti is a notable individual, likely recognized for professional or public achievements associated with the surname Moretti.
-
B.
Linda Giuva
Linda Giuva is an Italian archivist and academic known for her work in archival science and for being married to former Italian Prime Minister Massimo D'Alema.
-
C.
Linda Ercoli
Linda Ercoli is a voice actress known for portraying Peppermint Patty in the Peanuts animated productions.
-
D.
Loretta Castorini
Loretta Castorini is the practical, widowed Italian-American bookkeeper at the heart of the romantic comedy film "Moonstruck," whose unexpected love affair upends her carefully ordered life.
-
E.
Deanna Piatelli
Deanna Piatelli is known as the spouse of Jack Dempsey.
- 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: Linda Moretti Triple: [Il Postino, starring, Linda Moretti]
Generated description
Linda Moretti is an actress best known for her role in the acclaimed Italian film "Il Postino" ("The Postman").
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Moretti
Target entity description: Linda Moretti is an actress best known for her role in the acclaimed Italian film "Il Postino" ("The Postman").
-
A.
Laura Moretti
Laura Moretti is a notable individual, likely recognized for professional or public achievements associated with the surname Moretti.
-
B.
Linda Giuva
Linda Giuva is an Italian archivist and academic known for her work in archival science and for being married to former Italian Prime Minister Massimo D'Alema.
-
C.
Linda Ercoli
Linda Ercoli is a voice actress known for portraying Peppermint Patty in the Peanuts animated productions.
-
D.
Loretta Castorini
Loretta Castorini is the practical, widowed Italian-American bookkeeper at the heart of the romantic comedy film "Moonstruck," whose unexpected love affair upends her carefully ordered life.
-
E.
Deanna Piatelli
Deanna Piatelli is known as the spouse of Jack Dempsey.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da08fbc88190a31127d10ca633d6 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003556630081909e60e378e97b06fb |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a0036e07d2081908db03dcc133f8421 |
completed | May 10, 2026, 7:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00384f51d081909a5ab0630f82d173 |
completed | May 10, 2026, 7:48 a.m. |
Created at: April 10, 2026, 5:07 a.m.