Triple
T8738907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K. Balachander |
E207453
|
entity |
| Predicate | mentorOf |
P7251
|
FINISHED |
| Object |
Jayaprada
Jayaprada is a renowned Indian actress and politician celebrated for her work in Telugu, Hindi, and other regional film industries.
|
E754844
|
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: Jayaprada | Statement: [K. Balachander, mentorOf, Jayaprada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jayaprada Context triple: [K. Balachander, mentorOf, Jayaprada]
-
A.
Utpal Dutt
Utpal Dutt was a renowned Indian actor, director, and playwright, celebrated for his powerful performances in both serious cinema and popular comedies, as well as his influential work in Bengali theatre.
-
B.
Uttam Kumar
Uttam Kumar was a legendary Indian actor and cultural icon, widely regarded as the greatest star of Bengali cinema.
-
C.
Sanjeev Kumar
Sanjeev Kumar was a highly acclaimed Indian film actor known for his versatile performances in both mainstream and parallel cinema during the 1960s and 1970s.
-
D.
Madan Babu
Madan Babu is a computational biologist known for his influential work on gene regulation, protein networks, and systems biology.
-
E.
Gita Sen
Gita Sen is an Indian actress known for her frequent collaborations with her husband, acclaimed filmmaker Mrinal Sen, in Bengali parallel cinema.
- 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: Jayaprada Triple: [K. Balachander, mentorOf, Jayaprada]
Generated description
Jayaprada is a renowned Indian actress and politician celebrated for her work in Telugu, Hindi, and other regional film industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jayaprada Target entity description: Jayaprada is a renowned Indian actress and politician celebrated for her work in Telugu, Hindi, and other regional film industries.
-
A.
Utpal Dutt
Utpal Dutt was a renowned Indian actor, director, and playwright, celebrated for his powerful performances in both serious cinema and popular comedies, as well as his influential work in Bengali theatre.
-
B.
Uttam Kumar
Uttam Kumar was a legendary Indian actor and cultural icon, widely regarded as the greatest star of Bengali cinema.
-
C.
Sanjeev Kumar
Sanjeev Kumar was a highly acclaimed Indian film actor known for his versatile performances in both mainstream and parallel cinema during the 1960s and 1970s.
-
D.
Madan Babu
Madan Babu is a computational biologist known for his influential work on gene regulation, protein networks, and systems biology.
-
E.
Gita Sen
Gita Sen is an Indian actress known for her frequent collaborations with her husband, acclaimed filmmaker Mrinal Sen, in Bengali parallel cinema.
- 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.