Triple

T8565211
Position Surface form Disambiguated ID Type / Status
Subject Vetrimaaran E202784 entity
Predicate collaboratedWith P435 FINISHED
Object Samuthirakani
Samuthirakani is an Indian film actor and director, primarily known for his work in Tamil cinema and his character-driven, socially conscious roles.
E754240 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: Samuthirakani | Statement: [Vetrimaaran, collaboratedWith, Samuthirakani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuthirakani
Context triple: [Vetrimaaran, collaboratedWith, Samuthirakani]
  • A. Naveen Vikram
    Naveen Vikram is an actor known for his role in the acclaimed Tamil film "Super Deluxe."
  • B. Sivakarthikeyan
    Sivakarthikeyan is a popular Indian actor, producer, and playback singer known for his comedic and family-oriented roles primarily in Tamil cinema.
  • C. Ali Fazal
    Ali Fazal is an Indian actor known for his work in both Bollywood and international productions, including roles in films like "Victoria & Abdul" and the series "Mirzapur."
  • D. Somesh Jha
    Somesh Jha is a computer scientist known for his research in formal methods, security, and software verification.
  • E. Sivakumar
    Sivakumar is a veteran Indian Tamil film actor known for his work since the 1960s and as the father of popular actors Suriya and Karthi.
  • 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: Samuthirakani
Triple: [Vetrimaaran, collaboratedWith, Samuthirakani]
Generated description
Samuthirakani is an Indian film actor and director, primarily known for his work in Tamil cinema and his character-driven, socially conscious roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samuthirakani
Target entity description: Samuthirakani is an Indian film actor and director, primarily known for his work in Tamil cinema and his character-driven, socially conscious roles.
  • A. Naveen Vikram
    Naveen Vikram is an actor known for his role in the acclaimed Tamil film "Super Deluxe."
  • B. Sivakarthikeyan
    Sivakarthikeyan is a popular Indian actor, producer, and playback singer known for his comedic and family-oriented roles primarily in Tamil cinema.
  • C. Ali Fazal
    Ali Fazal is an Indian actor known for his work in both Bollywood and international productions, including roles in films like "Victoria & Abdul" and the series "Mirzapur."
  • D. Somesh Jha
    Somesh Jha is a computer scientist known for his research in formal methods, security, and software verification.
  • E. Sivakumar
    Sivakumar is a veteran Indian Tamil film actor known for his work since the 1960s and as the father of popular actors Suriya and Karthi.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42459a048190a5c480f4a212607a completed April 3, 2026, 4:29 a.m.
NEDg Description generation batch_69cf43bd0f8c8190be2f7dc86f1e76e1 completed April 3, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_69cf444c9cb08190a37f34faa4a3458d completed April 3, 2026, 4:38 a.m.
Created at: March 30, 2026, 6:20 p.m.