Triple

T8564884
Position Surface form Disambiguated ID Type / Status
Subject Suriya E202778 entity
Predicate notableWork P4 FINISHED
Object Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
E748337 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: Nandha | Statement: [Suriya, notableWork, Nandha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nandha
Context triple: [Suriya, notableWork, Nandha]
  • A. Nandi Thimmana
    Nandi Thimmana was a prominent Telugu poet of the Vijayanagara Empire, renowned for his works in the court of Emperor Krishnadevaraya.
  • B. Pillaiyar
    Pillaiyar is a widely revered elephant-headed Hindu deity, especially in South India, worshipped as the remover of obstacles and patron of beginnings and wisdom.
  • C. Padayappa
    Padayappa is a hugely popular 1999 Tamil-language masala film starring Rajinikanth, known for its dramatic storyline, memorable dialogues, and iconic confrontation between the hero and the antagonist played by Ramya Krishnan.
  • D. Nandiraj
    Nandiraj is a tributary river that feeds into the Indravati River in central India.
  • E. Kovalan
    Kovalan is a tragic hero from ancient Tamil literature, best known as the ill-fated husband of Kannagi in the epic Silappatikaram.
  • 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: Nandha
Triple: [Suriya, notableWork, Nandha]
Generated description
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nandha
Target entity description: Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
  • A. Nandi Thimmana
    Nandi Thimmana was a prominent Telugu poet of the Vijayanagara Empire, renowned for his works in the court of Emperor Krishnadevaraya.
  • B. Pillaiyar
    Pillaiyar is a widely revered elephant-headed Hindu deity, especially in South India, worshipped as the remover of obstacles and patron of beginnings and wisdom.
  • C. Padayappa
    Padayappa is a hugely popular 1999 Tamil-language masala film starring Rajinikanth, known for its dramatic storyline, memorable dialogues, and iconic confrontation between the hero and the antagonist played by Ramya Krishnan.
  • D. Nandiraj
    Nandiraj is a tributary river that feeds into the Indravati River in central India.
  • E. Kovalan
    Kovalan is a tragic hero from ancient Tamil literature, best known as the ill-fated husband of Kannagi in the epic Silappatikaram.
  • 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_69cbe9d11274819099cc33a21a993a1f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc6a63488190a03d1f5e80ac28b4 completed April 2, 2026, 8:07 p.m.
NEDg Description generation batch_69cece14193081909e7b36f5b5b7da40 completed April 2, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69cecee1db28819095f704b96b8c6d2a completed April 2, 2026, 8:17 p.m.
Created at: March 30, 2026, 6:20 p.m.