Triple
T8738886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K. Balachander |
E207453
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ek Duuje Ke Liye
Ek Duuje Ke Liye is a 1981 Hindi romantic tragedy film, remembered for its cross-cultural love story, hit music, and as a landmark work in Indian cinema.
|
E754839
|
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: Ek Duuje Ke Liye | Statement: [K. Balachander, notableWork, Ek Duuje Ke Liye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ek Duuje Ke Liye Context triple: [K. Balachander, notableWork, Ek Duuje Ke Liye]
-
A.
Jeena
Jeena is the central protagonist of the Indian television series "Good Vibes."
-
B.
Umeed
Umeed is a given name and word of Persian origin meaning "hope," used in various languages and cultures with similar uplifting connotations.
-
C.
Deya Neya
Deya Neya is a classic Bengali film best known for featuring legendary actor Uttam Kumar in a memorable leading role.
-
D.
Shwaas
Shwaas is a critically acclaimed Marathi-language film known for its poignant portrayal of a grandfather’s struggle to save his grandson’s eyesight, which brought renewed national attention to Marathi cinema.
-
E.
Pyar Ki Pyas
Pyar Ki Pyas is an Indian film produced under the AVM Productions banner, known for its family-oriented storytelling typical of the studio’s classic output.
- 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: Ek Duuje Ke Liye Triple: [K. Balachander, notableWork, Ek Duuje Ke Liye]
Generated description
Ek Duuje Ke Liye is a 1981 Hindi romantic tragedy film, remembered for its cross-cultural love story, hit music, and as a landmark work in Indian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ek Duuje Ke Liye Target entity description: Ek Duuje Ke Liye is a 1981 Hindi romantic tragedy film, remembered for its cross-cultural love story, hit music, and as a landmark work in Indian cinema.
-
A.
Jeena
Jeena is the central protagonist of the Indian television series "Good Vibes."
-
B.
Umeed
Umeed is a given name and word of Persian origin meaning "hope," used in various languages and cultures with similar uplifting connotations.
-
C.
Deya Neya
Deya Neya is a classic Bengali film best known for featuring legendary actor Uttam Kumar in a memorable leading role.
-
D.
Shwaas
Shwaas is a critically acclaimed Marathi-language film known for its poignant portrayal of a grandfather’s struggle to save his grandson’s eyesight, which brought renewed national attention to Marathi cinema.
-
E.
Pyar Ki Pyas
Pyar Ki Pyas is an Indian film produced under the AVM Productions banner, known for its family-oriented storytelling typical of the studio’s classic output.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d470c8c81909ead395ef704c6ba |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42d5dd508190854fbbc2541aa819 |
completed | April 3, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69cf440051bc8190ad9d649150187932 |
completed | April 3, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf4473ee0081908ed22eb0d855d7dd |
completed | April 3, 2026, 4:39 a.m. |
Created at: March 30, 2026, 6:38 p.m.