Triple
T6284391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAI |
E140861
|
entity |
| Predicate | operatesChannel |
P5884
|
FINISHED |
| Object |
Rai Movie
Rai Movie is an Italian television channel dedicated to broadcasting films, operated by the public broadcaster RAI.
|
E581738
|
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: Rai Movie | Statement: [RAI, operatesChannel, Rai Movie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rai Movie Context triple: [RAI, operatesChannel, Rai Movie]
-
A.
Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
-
B.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Gunday
Gunday is a 2014 Hindi-language action drama film set in 1970s–80s Kolkata, following two orphaned refugees who rise to become powerful coal bandits and best friends caught in a web of crime, love, and betrayal.
-
E.
Sairat
Sairat is a critically acclaimed and commercially successful Marathi romantic drama film known for its powerful portrayal of caste and class conflict in rural India.
- 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: Rai Movie Triple: [RAI, operatesChannel, Rai Movie]
Generated description
Rai Movie is an Italian television channel dedicated to broadcasting films, operated by the public broadcaster RAI.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rai Movie Target entity description: Rai Movie is an Italian television channel dedicated to broadcasting films, operated by the public broadcaster RAI.
-
A.
Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
-
B.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Gunday
Gunday is a 2014 Hindi-language action drama film set in 1970s–80s Kolkata, following two orphaned refugees who rise to become powerful coal bandits and best friends caught in a web of crime, love, and betrayal.
-
E.
Sairat
Sairat is a critically acclaimed and commercially successful Marathi romantic drama film known for its powerful portrayal of caste and class conflict in rural India.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fc906481908283c6c50a212515 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196864788190934e7c66d450dcf1 |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c51e9932cc8190bce03a28097a2ddc |
completed | March 26, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51f1689dc8190bbd38cd7a5425224 |
completed | March 26, 2026, 11:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.