Triple
T13700680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nessuno si salva da solo |
E328507
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Delia |
E175380
|
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: Delia | Statement: [Nessuno si salva da solo, mainCharacter, Delia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delia Context triple: [Nessuno si salva da solo, mainCharacter, Delia]
-
A.
Delia
chosen
Delia is a feminine given name used in various cultures, often as a standalone name or a diminutive of longer names like Cordelia or Adelia.
-
B.
Rosalie
Rosalie is a musical comedy best known for its Broadway production featuring music by George Gershwin and Sigmund Romberg.
-
C.
Rosalie
Rosalie is the given first name of American actress and model Andie MacDowell.
-
D.
Rosalie
"Rosalie" is a popular song by composer Cole Porter, featured in the Ella Fitzgerald album "Ella Fitzgerald Sings the Cole Porter Song Book."
-
E.
Rosalie
"Rosalie" is a rock song popularized by Irish band Thin Lizzy, known for its energetic style and storytelling lyrics.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794575d3881908de6ed988d848918 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.