Triple
T13700467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanzo criminale |
E328501
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Esmeralda Calabria
Esmeralda Calabria is an Italian film editor known for her work on acclaimed contemporary Italian cinema, including the crime drama "Romanzo criminale."
|
E1089493
|
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: Esmeralda Calabria | Statement: [Romanzo criminale, editedBy, Esmeralda Calabria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esmeralda Calabria Context triple: [Romanzo criminale, editedBy, Esmeralda Calabria]
-
A.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
B.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
C.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
-
D.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
E.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
- 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: Esmeralda Calabria Triple: [Romanzo criminale, editedBy, Esmeralda Calabria]
Generated description
Esmeralda Calabria is an Italian film editor known for her work on acclaimed contemporary Italian cinema, including the crime drama "Romanzo criminale."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esmeralda Calabria Target entity description: Esmeralda Calabria is an Italian film editor known for her work on acclaimed contemporary Italian cinema, including the crime drama "Romanzo criminale."
-
A.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
B.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
C.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
-
D.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
E.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
- 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_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_69fd3239c3bc8190a6838fe8f2f016bf |
completed | May 8, 2026, 12:45 a.m. |
| NEDg | Description generation | batch_69fd339f04f48190abd13b7ce459c931 |
completed | May 8, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd341b65e481908cd39e64e52583eb |
completed | May 8, 2026, 12:53 a.m. |
Created at: April 9, 2026, 9:54 p.m.