Triple
T13519696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo and Juliet (1968 film) |
E322860
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Maura Del Serra
Maura Del Serra is an Italian writer and playwright known for her contributions to contemporary Italian literature and theater.
|
E1060186
|
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: Maura Del Serra | Statement: [Romeo and Juliet (1968 film), screenwriter, Maura Del Serra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maura Del Serra Context triple: [Romeo and Juliet (1968 film), screenwriter, Maura Del Serra]
-
A.
Lucia Sciarra
Lucia Sciarra is a mysterious and seductive widow entangled with the criminal organization SPECTRE in the James Bond film "Spectre."
-
B.
Marcella De Marchis
Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
-
C.
Irene Morra
Irene Morra is a scholar and editor known for her work on literature and culture, including editing the volume "Road to Morocco."
-
D.
Irene Morra
Irene Morra was a film editor known for her work on early 20th-century American cinema, including the Shirley Temple film "The Little Colonel."
-
E.
Anne Rosellini
Anne Rosellini is an American film producer and screenwriter best known for her collaborations with director Debra Granik on acclaimed independent films.
- 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: Maura Del Serra Triple: [Romeo and Juliet (1968 film), screenwriter, Maura Del Serra]
Generated description
Maura Del Serra is an Italian writer and playwright known for her contributions to contemporary Italian literature and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maura Del Serra Target entity description: Maura Del Serra is an Italian writer and playwright known for her contributions to contemporary Italian literature and theater.
-
A.
Lucia Sciarra
Lucia Sciarra is a mysterious and seductive widow entangled with the criminal organization SPECTRE in the James Bond film "Spectre."
-
B.
Marcella De Marchis
Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
-
C.
Irene Morra
Irene Morra is a scholar and editor known for her work on literature and culture, including editing the volume "Road to Morocco."
-
D.
Irene Morra
Irene Morra was a film editor known for her work on early 20th-century American cinema, including the Shirley Temple film "The Little Colonel."
-
E.
Anne Rosellini
Anne Rosellini is an American film producer and screenwriter best known for her collaborations with director Debra Granik on acclaimed independent films.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa3df0c8190804174695587f0ea |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a835ea448190a5ddaf8479e0b36c |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 9:44 p.m.