Triple
T18177494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Diary of a Teenage Girl |
E435200
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
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."
|
E1311700
|
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: Caviar Films | Statement: [The Diary of a Teenage Girl, productionCompany, Caviar Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caviar Films Context triple: [The Diary of a Teenage Girl, productionCompany, Caviar Films]
-
A.
Elixir Films
Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
-
B.
Axon Films
Axon Films is a film production company known for producing the movie "Milk."
-
C.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
D.
Cineyug Films
Cineyug Films is an Indian film production company known for backing major Bollywood projects and entertainment ventures.
-
E.
Candescent Films
Candescent Films is an independent film production company known for backing socially conscious and character-driven documentaries and narrative features.
- 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: Caviar Films Triple: [The Diary of a Teenage Girl, productionCompany, Caviar Films]
Generated description
Caviar Films is a film production company known for backing independent and character-driven movies such as "The Diary of a Teenage Girl."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caviar Films Target entity description: Caviar Films is a film production company known for backing independent and character-driven movies such as "The Diary of a Teenage Girl."
-
A.
Elixir Films
Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
-
B.
Axon Films
Axon Films is a film production company known for producing the movie "Milk."
-
C.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
-
D.
Cineyug Films
Cineyug Films is an Indian film production company known for backing major Bollywood projects and entertainment ventures.
-
E.
Candescent Films
Candescent Films is an independent film production company known for backing socially conscious and character-driven documentaries and narrative features.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5a72008190bd2e56205b995a87 |
completed | April 19, 2026, 1:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0397fd8ab481909868d3600172b0e4 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0398fb7fb481908a32c56a798d81fd |
completed | May 12, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a2b85888190bbcae1ba9d8ba715 |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.