Triple
T7106050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navalny |
E165585
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object |
CNN Films
CNN Films is a documentary film division of CNN that produces and acquires non-fiction feature films for theatrical release and television broadcast.
|
E642009
|
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: CNN Films | Statement: [Navalny, distributor, CNN Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNN Films Context triple: [Navalny, distributor, CNN Films]
-
A.
Echo Films
Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
-
B.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
C.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
D.
Element Films
Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
-
E.
IPC Films
IPC Films was an American film production company best known for producing the hit 1980 workplace comedy "9 to 5."
- 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: CNN Films Triple: [Navalny, distributor, CNN Films]
Generated description
CNN Films is a documentary film division of CNN that produces and acquires non-fiction feature films for theatrical release and television broadcast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CNN Films Target entity description: CNN Films is a documentary film division of CNN that produces and acquires non-fiction feature films for theatrical release and television broadcast.
-
A.
Echo Films
Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
-
B.
Beyond Films
Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
-
C.
Sketch Films
Sketch Films is a television production company best known for its work on the supernatural drama series "Sleepy Hollow."
-
D.
Element Films
Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
-
E.
IPC Films
IPC Films was an American film production company best known for producing the hit 1980 workplace comedy "9 to 5."
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5b892008190827fa1e5eab2e558 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cb0ee3481908f2f7efb5e9d1714 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d3feacc819097887064a7439340 |
completed | March 28, 2026, 9:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79df3f5648190981176b6c9791181 |
completed | March 28, 2026, 9:23 a.m. |
Created at: March 27, 2026, 2:42 p.m.