Triple
T10647877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehran (TV series) |
E250883
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object |
Kan 11
Kan 11 is an Israeli public television channel operated by the Israeli Public Broadcasting Corporation, known for broadcasting a range of news, entertainment, and original scripted programming.
|
E878233
|
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: Kan 11 | Statement: [Tehran (TV series), originalNetwork, Kan 11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kan 11 Context triple: [Tehran (TV series), originalNetwork, Kan 11]
-
A.
KAN
KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
-
B.
Kan
Kan is a transliteration variant of the title and name "Khan," historically used across Central and South Asia for rulers and nobility.
-
C.
Kan
Kan is the family name of Naoto Kan, a Japanese politician who served as Prime Minister of Japan from 2010 to 2011.
-
D.
Kanai
Kanai was a former municipality in Niigata Prefecture, Japan, that later became part of the city of Sado through a merger.
-
E.
Kanatal
Kanatal is a serene hill station in Uttarakhand, India, known for its tranquil Himalayan views, apple orchards, and outdoor adventure activities.
- 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: Kan 11 Triple: [Tehran (TV series), originalNetwork, Kan 11]
Generated description
Kan 11 is an Israeli public television channel operated by the Israeli Public Broadcasting Corporation, known for broadcasting a range of news, entertainment, and original scripted programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kan 11 Target entity description: Kan 11 is an Israeli public television channel operated by the Israeli Public Broadcasting Corporation, known for broadcasting a range of news, entertainment, and original scripted programming.
-
A.
KAN
KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
-
B.
Kan
Kan is a transliteration variant of the title and name "Khan," historically used across Central and South Asia for rulers and nobility.
-
C.
Kan
Kan is the family name of Naoto Kan, a Japanese politician who served as Prime Minister of Japan from 2010 to 2011.
-
D.
Kanai
Kanai was a former municipality in Niigata Prefecture, Japan, that later became part of the city of Sado through a merger.
-
E.
Kanatal
Kanatal is a serene hill station in Uttarakhand, India, known for its tranquil Himalayan views, apple orchards, and outdoor adventure activities.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe29b8081908eb13637e0475ba1 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a60fdd881908987f920a19bb41e |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc20448819094d650b9c1067dca |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e0cda0c8190af5013b971b2ad3c |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:05 p.m.