Triple
T17120542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Prisoner |
E415452
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Everyman Films
Everyman Films was a British television and film production company best known for creating the cult 1960s TV series "The Prisoner."
|
E1250607
|
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: Everyman Films | Statement: [The Prisoner, productionCompany, Everyman Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everyman Films Context triple: [The Prisoner, productionCompany, Everyman Films]
-
A.
Everyman Pictures
Everyman Pictures is a film production company best known for producing popular comedy movies, including entries in the "Meet the Parents" franchise.
-
B.
Celandine Films
Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
-
C.
WestEnd Films
WestEnd Films is a London-based international sales and production company specializing in independent feature films.
-
D.
Shoebox Films
Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
-
E.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
- 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: Everyman Films Triple: [The Prisoner, productionCompany, Everyman Films]
Generated description
Everyman Films was a British television and film production company best known for creating the cult 1960s TV series "The Prisoner."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Everyman Films Target entity description: Everyman Films was a British television and film production company best known for creating the cult 1960s TV series "The Prisoner."
-
A.
Everyman Pictures
Everyman Pictures is a film production company best known for producing popular comedy movies, including entries in the "Meet the Parents" franchise.
-
B.
Celandine Films
Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
-
C.
WestEnd Films
WestEnd Films is a London-based international sales and production company specializing in independent feature films.
-
D.
Shoebox Films
Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
-
E.
Ombra Films
Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a1062fc8190b1c4e97f42cf3faa |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:36 a.m.