Triple
T15312221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsoon |
E366064
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Cinefeel
Cinefeel is a film and television production company involved in creating and developing screen content such as the project "Monsoon."
|
E1150749
|
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: Cinefeel | Statement: [Monsoon, productionCompany, Cinefeel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinefeel Context triple: [Monsoon, productionCompany, Cinefeel]
-
A.
Passionflix
Passionflix is a streaming service and film production company that specializes in adapting popular romance novels into movies and series.
-
B.
Vintry
Vintry is one of the historic wards of the City of London, traditionally associated with the wine trade along the River Thames.
-
C.
Flix
Flix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football championship.
-
D.
Flix
Flix is a small municipality in Catalonia, Spain, known for its location along a bend of the Ebro River and its historical industrial and hydroelectric activities.
-
E.
Los Festivales
Los Festivales is a themed area within the Six Flags Fiesta Texas amusement park, featuring attractions, entertainment, and dining inspired by festive cultural motifs.
- 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: Cinefeel Triple: [Monsoon, productionCompany, Cinefeel]
Generated description
Cinefeel is a film and television production company involved in creating and developing screen content such as the project "Monsoon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cinefeel Target entity description: Cinefeel is a film and television production company involved in creating and developing screen content such as the project "Monsoon."
-
A.
Passionflix
Passionflix is a streaming service and film production company that specializes in adapting popular romance novels into movies and series.
-
B.
Vintry
Vintry is one of the historic wards of the City of London, traditionally associated with the wine trade along the River Thames.
-
C.
Flix
Flix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football championship.
-
D.
Flix
Flix is a small municipality in Catalonia, Spain, known for its location along a bend of the Ebro River and its historical industrial and hydroelectric activities.
-
E.
Los Festivales
Los Festivales is a themed area within the Six Flags Fiesta Texas amusement park, featuring attractions, entertainment, and dining inspired by festive cultural motifs.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a3da3881909b50cfbec0543adc |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefdb82b2081908084a12a58ad3477 |
completed | May 9, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefe6c42708190bd893885fc5bc88e |
completed | May 9, 2026, 9:29 a.m. |
Created at: April 10, 2026, 3:16 a.m.