Triple
T14854582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adventureland |
E349318
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Miramar Films
Miramar Films is a film production company known for producing feature films such as the coming-of-age comedy "Adventureland."
|
E1123567
|
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: Miramar Films | Statement: [Adventureland, productionCompany, Miramar Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miramar Films Context triple: [Adventureland, productionCompany, Miramar Films]
-
A.
Eldorado Films
Eldorado Films is a film production company best known for its involvement in the 1984 adventure romantic comedy "Romancing the Stone."
-
B.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
C.
Minerva Film
Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
-
D.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
E.
Sonesta Films
Sonesta Films is a film production company known for producing the biographical comedy-drama "Stan & Ollie" about the legendary comedy duo Laurel and Hardy.
- 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: Miramar Films Triple: [Adventureland, productionCompany, Miramar Films]
Generated description
Miramar Films is a film production company known for producing feature films such as the coming-of-age comedy "Adventureland."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miramar Films Target entity description: Miramar Films is a film production company known for producing feature films such as the coming-of-age comedy "Adventureland."
-
A.
Eldorado Films
Eldorado Films is a film production company best known for its involvement in the 1984 adventure romantic comedy "Romancing the Stone."
-
B.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
C.
Minerva Film
Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
-
D.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
E.
Sonesta Films
Sonesta Films is a film production company known for producing the biographical comedy-drama "Stan & Ollie" about the legendary comedy duo Laurel and Hardy.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65087708819084f51a043e5361e9 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66218cb88190b8c86b359abaa14c |
completed | May 8, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66de57cc8190935d764d399f56f5 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:54 a.m.