Triple

T8738909
Position Surface form Disambiguated ID Type / Status
Subject K. Balachander E207453 entity
Predicate influenced P9 FINISHED
Object Vasanth
Vasanth is an Indian film director and screenwriter known for his work in Tamil cinema, often noted for his sensitive storytelling and character-driven narratives.
 E754845 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: Vasanth | Statement: [K. Balachander, influenced, Vasanth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vasanth
Context triple: [K. Balachander, influenced, Vasanth]
  • A. Vivek
    Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
  • B. Venkata
    Venkata is the given name of Indian physicist and Nobel laureate C. V. Raman, renowned for discovering the Raman effect in light scattering.
  • C. Vinod
    Vinod is a masculine given name of Indian origin, commonly used in South Asia and among the Indian diaspora.
  • D. Seshadri
    Seshadri is one of the seven sacred hills that form the Tirumala hill range, home to the famous Tirumala Venkateswara Temple in Andhra Pradesh, India.
  • E. Raghavendra
    Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
  • 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: Vasanth
Triple: [K. Balachander, influenced, Vasanth]
Generated description
Vasanth is an Indian film director and screenwriter known for his work in Tamil cinema, often noted for his sensitive storytelling and character-driven narratives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vasanth
Target entity description: Vasanth is an Indian film director and screenwriter known for his work in Tamil cinema, often noted for his sensitive storytelling and character-driven narratives.
  • A. Vivek
    Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
  • B. Venkata
    Venkata is the given name of Indian physicist and Nobel laureate C. V. Raman, renowned for discovering the Raman effect in light scattering.
  • C. Vinod
    Vinod is a masculine given name of Indian origin, commonly used in South Asia and among the Indian diaspora.
  • D. Seshadri
    Seshadri is one of the seven sacred hills that form the Tirumala hill range, home to the famous Tirumala Venkateswara Temple in Andhra Pradesh, India.
  • E. Raghavendra
    Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
  • 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.