Triple
T20517328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Scratch |
E503713
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Lucia Sardo
Lucia Sardo is an Italian actress known for her work in film and television, often portraying strong, emotionally complex characters.
|
E1445156
|
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: Lucia Sardo | Statement: [From Scratch, starring, Lucia Sardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucia Sardo Context triple: [From Scratch, starring, Lucia Sardo]
-
A.
Lucia Zucchetti
Lucia Zucchetti is a film editor known for her work on feature films including the British comedy-drama "Mrs Henderson Presents."
-
B.
Rosa Miano
Rosa Miano is known as the spouse of Australian actor and filmmaker John Jarratt.
-
C.
María Fiorentino
María Fiorentino is an Argentine actress known for her work in television, including a role in the popular telenovela "Resistiré."
-
D.
Adriana Caselotti
Adriana Caselotti was an American actress and singer best known for providing the original voice of Snow White in Disney’s pioneering 1937 animated feature.
-
E.
Marcella De Marchis
Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
- 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: Lucia Sardo Triple: [From Scratch, starring, Lucia Sardo]
Generated description
Lucia Sardo is an Italian actress known for her work in film and television, often portraying strong, emotionally complex characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucia Sardo Target entity description: Lucia Sardo is an Italian actress known for her work in film and television, often portraying strong, emotionally complex characters.
-
A.
Lucia Zucchetti
Lucia Zucchetti is a film editor known for her work on feature films including the British comedy-drama "Mrs Henderson Presents."
-
B.
Rosa Miano
Rosa Miano is known as the spouse of Australian actor and filmmaker John Jarratt.
-
C.
María Fiorentino
María Fiorentino is an Argentine actress known for her work in television, including a role in the popular telenovela "Resistiré."
-
D.
Adriana Caselotti
Adriana Caselotti was an American actress and singer best known for providing the original voice of Snow White in Disney’s pioneering 1937 animated feature.
-
E.
Marcella De Marchis
Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7cce488819080170d14a183f629 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d83d05008190b5c3b17cfe355ae5 |
completed | May 16, 2026, 8:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d89d6fb48190b3ce407739685563 |
completed | May 16, 2026, 8:50 p.m. |
Created at: April 16, 2026, 11:36 a.m.