Triple
T7045329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koratala Siva |
E163616
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
Mirchi
Mirchi is a 2013 Telugu-language action drama film starring Prabhas, known for its blend of family sentiment, romance, and mass entertainment.
|
E638847
|
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: Mirchi | Statement: [Koratala Siva, directed, Mirchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirchi Context triple: [Koratala Siva, directed, Mirchi]
-
A.
Chopi
Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
-
B.
Guntur Mirchi Yard
Guntur Mirchi Yard is one of Asia’s largest chili markets, serving as a major trading hub for red chilies in Guntur, India.
-
C.
Pinjra
Pinjra is a landmark 1972 Marathi-language film directed by V. Shantaram, renowned for its powerful social themes and memorable music.
-
D.
Chatti
The Chatti were an ancient Germanic tribe known from Roman sources, associated with the region of central Germany and often noted for their military prowess and conflicts with Rome.
-
E.
Cheeni Kum
Cheeni Kum is a 2007 Indian romantic comedy film directed by R. Balki, known for its unconventional love story between an older chef and a much younger woman, played by Tabu.
- 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: Mirchi Triple: [Koratala Siva, directed, Mirchi]
Generated description
Mirchi is a 2013 Telugu-language action drama film starring Prabhas, known for its blend of family sentiment, romance, and mass entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mirchi Target entity description: Mirchi is a 2013 Telugu-language action drama film starring Prabhas, known for its blend of family sentiment, romance, and mass entertainment.
-
A.
Chopi
Chopi is a Bantu language spoken by the Chopi people primarily along the southern coast of Mozambique.
-
B.
Guntur Mirchi Yard
Guntur Mirchi Yard is one of Asia’s largest chili markets, serving as a major trading hub for red chilies in Guntur, India.
-
C.
Pinjra
Pinjra is a landmark 1972 Marathi-language film directed by V. Shantaram, renowned for its powerful social themes and memorable music.
-
D.
Chatti
The Chatti were an ancient Germanic tribe known from Roman sources, associated with the region of central Germany and often noted for their military prowess and conflicts with Rome.
-
E.
Cheeni Kum
Cheeni Kum is a 2007 Indian romantic comedy film directed by R. Balki, known for its unconventional love story between an older chef and a much younger woman, played by Tabu.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e238c7a4819095f5ff7283d48da8 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887799f48190b4fa311defd8e9fd |
completed | March 28, 2026, 7:51 a.m. |
| NEDg | Description generation | batch_69c7893f85588190b1ed983f00ea2532 |
completed | March 28, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c78b0fe83481909cad77ce740b81d5 |
completed | March 28, 2026, 8:02 a.m. |
Created at: March 27, 2026, 2:37 p.m.