Triple

T16964353
Position Surface form Disambiguated ID Type / Status
Subject Tulu cinema E411505 entity
Predicate notableFilm P22 FINISHED
Object Oriyardori Asal
"Oriyardori Asal" is a popular Tulu-language comedy film widely credited with boosting the visibility and commercial success of Tulu cinema.
E1242533 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: Oriyardori Asal | Statement: [Tulu cinema, notableFilm, Oriyardori Asal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oriyardori Asal
Context triple: [Tulu cinema, notableFilm, Oriyardori Asal]
  • A. Oroshori
    Oroshori is an Eastern Iranian Pamiri language spoken in parts of Tajikistan and Afghanistan, closely related to Shughni and sharing many linguistic features with it.
  • B. Doryumu
    Doryumu is a town in Ghana located near the Shai Hills Resource Reserve in the Greater Accra Region.
  • C. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • D. Orikum
    Orikum is a small coastal town in southern Albania known for its bay on the Adriatic Sea and proximity to the ancient city of Oricum and the Karaburun Peninsula.
  • E. Hizaori
    Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
  • 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: Oriyardori Asal
Triple: [Tulu cinema, notableFilm, Oriyardori Asal]
Generated description
"Oriyardori Asal" is a popular Tulu-language comedy film widely credited with boosting the visibility and commercial success of Tulu cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oriyardori Asal
Target entity description: "Oriyardori Asal" is a popular Tulu-language comedy film widely credited with boosting the visibility and commercial success of Tulu cinema.
  • A. Oroshori
    Oroshori is an Eastern Iranian Pamiri language spoken in parts of Tajikistan and Afghanistan, closely related to Shughni and sharing many linguistic features with it.
  • B. Doryumu
    Doryumu is a town in Ghana located near the Shai Hills Resource Reserve in the Greater Accra Region.
  • C. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • D. Orikum
    Orikum is a small coastal town in southern Albania known for its bay on the Adriatic Sea and proximity to the ancient city of Oricum and the Karaburun Peninsula.
  • E. Hizaori
    Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a2cda88190bd574a869f0e43e9 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46cb56481908c2bc6648a12fbcf completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d4f1bfa48190903bedc43ed6db75 completed May 10, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a00d59b96108190a0e55f01529a0b64 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:31 a.m.