Triple
T23101397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Other Catastrophes |
E576038
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Cecilia Films
Cecilia Films is a film production company known for producing the Australian romantic comedy "Love and Other Catastrophes."
|
E1572759
|
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: Cecilia Films | Statement: [Love and Other Catastrophes, productionCompany, Cecilia Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecilia Films Context triple: [Love and Other Catastrophes, productionCompany, Cecilia 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.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
-
C.
Artina Films
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
D.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
E.
Celandine Films
Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
- 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: Cecilia Films Triple: [Love and Other Catastrophes, productionCompany, Cecilia Films]
Generated description
Cecilia Films is a film production company known for producing the Australian romantic comedy "Love and Other Catastrophes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cecilia Films Target entity description: Cecilia Films is a film production company known for producing the Australian romantic comedy "Love and Other Catastrophes."
-
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.
Canana Films
Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
-
C.
Artina Films
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
D.
Morfina Films
Morfina Films is a film production company known for producing the Spanish drama film "Tristana."
-
E.
Celandine Films
Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c307f7e988190b185b11393d9f272 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c32ab76988190917b76806a6c2c80 |
completed | May 19, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c3335e83c8190a9bee47e86215c05 |
completed | May 19, 2026, 9:53 a.m. |
Created at: April 17, 2026, 3:58 p.m.