Triple
T23068132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goon |
E575108
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Caramel Films
Caramel Films is a film production company known for producing the 2011 British comedy-drama film "Goon."
|
E1568286
|
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: Caramel Films | Statement: [Goon, productionCompany, Caramel Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caramel Films Context triple: [Goon, productionCompany, Caramel Films]
-
A.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
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.
Cineyug Films
Cineyug Films is an Indian film production company known for backing major Bollywood projects and entertainment ventures.
-
D.
Caviar Films
Caviar Films is a film production company known for backing independent and character-driven movies such as "The Diary of a Teenage Girl."
-
E.
Celador Films
Celador Films is a British film production company best known for co-producing the Academy Award–winning drama "Slumdog Millionaire."
- 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: Caramel Films Triple: [Goon, productionCompany, Caramel Films]
Generated description
Caramel Films is a film production company known for producing the 2011 British comedy-drama film "Goon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caramel Films Target entity description: Caramel Films is a film production company known for producing the 2011 British comedy-drama film "Goon."
-
A.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
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.
Cineyug Films
Cineyug Films is an Indian film production company known for backing major Bollywood projects and entertainment ventures.
-
D.
Caviar Films
Caviar Films is a film production company known for backing independent and character-driven movies such as "The Diary of a Teenage Girl."
-
E.
Celador Films
Celador Films is a British film production company best known for co-producing the Academy Award–winning drama "Slumdog Millionaire."
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a5aa4081909b3f0dc92877323d |
completed | April 29, 2026, 4:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0aeda4d88190b4e4e55ff36d00b1 |
completed | May 19, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a0c0cb059fc81908a4ff8c7cdf8a0bd |
completed | May 19, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0d995ea081908dd9d09d6d63ddfe |
completed | May 19, 2026, 7:13 a.m. |
Created at: April 17, 2026, 3:55 p.m.