Triple
T11764766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cenere (1916 film) |
E279752
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Milano Films
Milano Films was an early 20th-century Italian film production company active during the silent era, known for producing notable works of Italian cinema.
|
E943953
|
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: Milano Films | Statement: [Cenere (1916 film), productionCompany, Milano Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milano Films Context triple: [Cenere (1916 film), productionCompany, Milano Films]
-
A.
Florentine Films
Florentine Films is an American documentary film production company best known for creating in-depth historical series, particularly those directed by Ken Burns.
-
B.
Cecchi Gori Pictures
Cecchi Gori Pictures is an Italian film production company known for backing acclaimed international and art-house cinema.
-
C.
Minerva Film
Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
-
D.
Orsay Films
Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
-
E.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
- 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: Milano Films Triple: [Cenere (1916 film), productionCompany, Milano Films]
Generated description
Milano Films was an early 20th-century Italian film production company active during the silent era, known for producing notable works of Italian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milano Films Target entity description: Milano Films was an early 20th-century Italian film production company active during the silent era, known for producing notable works of Italian cinema.
-
A.
Florentine Films
Florentine Films is an American documentary film production company best known for creating in-depth historical series, particularly those directed by Ken Burns.
-
B.
Cecchi Gori Pictures
Cecchi Gori Pictures is an Italian film production company known for backing acclaimed international and art-house cinema.
-
C.
Minerva Film
Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
-
D.
Orsay Films
Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
-
E.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a525948081908af62cc5d4c7c482 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a570ca88190ba2f3791c0e0ba60 |
completed | April 28, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_69f043b3c51c8190a764433e86f1333e |
completed | April 28, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05b04d7248190b8ec4be4f2c3e388 |
completed | April 28, 2026, 7 a.m. |
Created at: April 8, 2026, 9:41 p.m.