Triple
T21958238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sea |
E542249
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Radiant Films
Radiant Films is a film production company known for backing feature-length motion pictures such as "The Sea."
|
E1514832
|
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: Radiant Films | Statement: [The Sea, productionCompany, Radiant Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radiant Films Context triple: [The Sea, productionCompany, Radiant Films]
-
A.
Radian Films
Radian Films is a film production company known for producing the documentary feature "Lenny Cooke," which chronicles the rise and fall of a once-promising high school basketball star.
-
B.
Candescent Films
Candescent Films is an independent film production company known for backing socially conscious and character-driven documentaries and narrative features.
-
C.
Sunrise Films
Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
-
D.
Rhea Films
Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
-
E.
Rastar Films
Rastar Films was an American film production company known for producing a range of notable Hollywood films from the 1960s through the 1980s.
- 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: Radiant Films Triple: [The Sea, productionCompany, Radiant Films]
Generated description
Radiant Films is a film production company known for backing feature-length motion pictures such as "The Sea."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radiant Films Target entity description: Radiant Films is a film production company known for backing feature-length motion pictures such as "The Sea."
-
A.
Radian Films
Radian Films is a film production company known for producing the documentary feature "Lenny Cooke," which chronicles the rise and fall of a once-promising high school basketball star.
-
B.
Candescent Films
Candescent Films is an independent film production company known for backing socially conscious and character-driven documentaries and narrative features.
-
C.
Sunrise Films
Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
-
D.
Rhea Films
Rhea Films is a film production company known for collaborating on independent, critically acclaimed movies such as the crime thriller "Good Time."
-
E.
Rastar Films
Rastar Films was an American film production company known for producing a range of notable Hollywood films from the 1960s through the 1980s.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244204f081909742d4fe138610d6 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b5abc5c8190b5ba2c4352289bb0 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c35f92081909d83acfaa927d52f |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7c9887ec81908638c72bbfca1580 |
completed | May 18, 2026, 2:42 a.m. |
Created at: April 16, 2026, 8 p.m.