Triple
T13796553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keoma |
E331531
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
U.B.A. Film
U.B.A. Film is an Italian film production company known for backing genre movies, including notable Spaghetti Westerns of the 1970s.
|
E1062997
|
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: U.B.A. Film | Statement: [Keoma, productionCompany, U.B.A. Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U.B.A. Film Context triple: [Keoma, productionCompany, U.B.A. Film]
-
A.
Uco-Film
Uco-Film was a German film production company active during the silent era, known for producing influential early works such as Fritz Lang’s "Dr. Mabuse the Gambler."
-
B.
Riama Film
Riama Film is an Italian film production company best known for producing Federico Fellini’s classic 1960 drama "La Dolce Vita."
-
C.
Cinema Impero
Cinema Impero is a prominent Art Deco-style movie theater in Asmara, Eritrea, celebrated as one of the city’s most iconic architectural landmarks.
-
D.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
E.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave 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: U.B.A. Film Triple: [Keoma, productionCompany, U.B.A. Film]
Generated description
U.B.A. Film is an Italian film production company known for backing genre movies, including notable Spaghetti Westerns of the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U.B.A. Film Target entity description: U.B.A. Film is an Italian film production company known for backing genre movies, including notable Spaghetti Westerns of the 1970s.
-
A.
Uco-Film
Uco-Film was a German film production company active during the silent era, known for producing influential early works such as Fritz Lang’s "Dr. Mabuse the Gambler."
-
B.
Riama Film
Riama Film is an Italian film production company best known for producing Federico Fellini’s classic 1960 drama "La Dolce Vita."
-
C.
Cinema Impero
Cinema Impero is a prominent Art Deco-style movie theater in Asmara, Eritrea, celebrated as one of the city’s most iconic architectural landmarks.
-
D.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
E.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08508688190b7e8c33e6b65e25d |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b48bf704819098bfb70def28a0d1 |
completed | May 3, 2026, 8:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b5c9e284819094e7af030e1e9034 |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 9, 2026, 10:11 p.m.