Triple
T11200254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dollars Trilogy |
E265019
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Jolly Film
Jolly Film is an Italian film production company best known for backing Sergio Leone’s influential Spaghetti Westerns, including the Dollars Trilogy.
|
E911668
|
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: Jolly Film | Statement: [Dollars Trilogy, productionCompany, Jolly Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jolly Film Context triple: [Dollars Trilogy, productionCompany, Jolly Film]
-
A.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
B.
Lolafilms
Lolafilms is a Spanish film production company known for backing prominent Spanish-language cinema, including acclaimed features from the 1990s and 2000s.
-
C.
Dohafilms
Dohafilms is a film production company known for helping produce the 2014 animated adaptation of Kahlil Gibran’s "The Prophet."
-
D.
Googly Films
Googly Films is a film production company best known for producing the visually striking fantasy drama "The Fall" (2006).
-
E.
Lenfilm
Lenfilm is one of Russia’s oldest and most prominent film studios, based in Saint Petersburg and known for producing many classic Soviet-era movies.
- 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: Jolly Film Triple: [Dollars Trilogy, productionCompany, Jolly Film]
Generated description
Jolly Film is an Italian film production company best known for backing Sergio Leone’s influential Spaghetti Westerns, including the Dollars Trilogy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jolly Film Target entity description: Jolly Film is an Italian film production company best known for backing Sergio Leone’s influential Spaghetti Westerns, including the Dollars Trilogy.
-
A.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
B.
Lolafilms
Lolafilms is a Spanish film production company known for backing prominent Spanish-language cinema, including acclaimed features from the 1990s and 2000s.
-
C.
Dohafilms
Dohafilms is a film production company known for helping produce the 2014 animated adaptation of Kahlil Gibran’s "The Prophet."
-
D.
Googly Films
Googly Films is a film production company best known for producing the visually striking fantasy drama "The Fall" (2006).
-
E.
Lenfilm
Lenfilm is one of Russia’s oldest and most prominent film studios, based in Saint Petersburg and known for producing many classic Soviet-era movies.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c1e9f88190b2b42326aba9d778 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4970df7cc81909c3b07ead58513e8 |
completed | April 19, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_69e49c09844881908e0d95ba3f239024 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e7f8b108190bb69f532adf25809 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:29 p.m.