Triple
T13147906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Marx |
E312387
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Vivo Film
Vivo Film is an Italian independent film production company known for backing auteur-driven and socially engaged cinema, including the biographical drama "Miss Marx."
|
E1024654
|
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: Vivo Film | Statement: [Miss Marx, productionCompany, Vivo Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivo Film Context triple: [Miss Marx, productionCompany, Vivo Film]
-
A.
Riama Film
Riama Film is an Italian film production company best known for producing Federico Fellini’s classic 1960 drama "La Dolce Vita."
-
B.
Wanda Film
Wanda Film is a major Chinese cinema chain and film entertainment company owned by the Dalian Wanda Group.
-
C.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
D.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
E.
Vides Cinematografica
Vides Cinematografica was an Italian film production company active in the mid-20th century, known for producing notable Italian and international cinema.
- 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: Vivo Film Triple: [Miss Marx, productionCompany, Vivo Film]
Generated description
Vivo Film is an Italian independent film production company known for backing auteur-driven and socially engaged cinema, including the biographical drama "Miss Marx."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vivo Film Target entity description: Vivo Film is an Italian independent film production company known for backing auteur-driven and socially engaged cinema, including the biographical drama "Miss Marx."
-
A.
Riama Film
Riama Film is an Italian film production company best known for producing Federico Fellini’s classic 1960 drama "La Dolce Vita."
-
B.
Wanda Film
Wanda Film is a major Chinese cinema chain and film entertainment company owned by the Dalian Wanda Group.
-
C.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
D.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
E.
Vides Cinematografica
Vides Cinematografica was an Italian film production company active in the mid-20th century, known for producing notable Italian and international cinema.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae834908190aecb825db1d705ff |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6eb9ff2a881908004cc060b892f48 |
completed | May 3, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ec67be70819087d6c49a85d163bc |
completed | May 3, 2026, 6:34 a.m. |
Created at: April 9, 2026, 9:10 p.m.