Triple
T22840822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss You Already |
E566072
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
S Films
S Films is a film production company known for producing the 2015 British drama "Miss You Already."
|
E1557720
|
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: S Films | Statement: [Miss You Already, productionCompany, S Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S Films Context triple: [Miss You Already, productionCompany, S Films]
-
A.
H Films
H Films is a film and television production company known for developing and producing screen content for various media platforms.
-
B.
Sigma Films
Sigma Films is a Scottish film production company known for backing independent and auteur-driven projects, including historical epics like "Outlaw King."
-
C.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
D.
Max Films
Max Films is a film production company best known for producing the cult Australian horror-comedy "The Cars That Ate Paris."
-
E.
Max Films
Max Films is a Canadian film production company known for producing independent and auteur-driven 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: S Films Triple: [Miss You Already, productionCompany, S Films]
Generated description
S Films is a film production company known for producing the 2015 British drama "Miss You Already."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S Films Target entity description: S Films is a film production company known for producing the 2015 British drama "Miss You Already."
-
A.
H Films
H Films is a film and television production company known for developing and producing screen content for various media platforms.
-
B.
Sigma Films
Sigma Films is a Scottish film production company known for backing independent and auteur-driven projects, including historical epics like "Outlaw King."
-
C.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
D.
Max Films
Max Films is a film production company best known for producing the cult Australian horror-comedy "The Cars That Ate Paris."
-
E.
Max Films
Max Films is a Canadian film production company known for producing independent and auteur-driven 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b565388190bb70602834ae5622 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8666f608190b512aa4c8442f6c1 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0baa4decf881909774facad2cae93d |
completed | May 19, 2026, 12:09 a.m. |
Created at: April 17, 2026, 3:35 p.m.