Triple

T8565355
Position Surface form Disambiguated ID Type / Status
Subject Baashha E202787 entity
Predicate mainCharacter P1183 FINISHED
Object Manikkam
Manikkam is the soft-spoken auto-rickshaw driver who secretly hides a powerful and feared past in the Tamil film "Baashha."
E748342 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: Manikkam | Statement: [Baashha, mainCharacter, Manikkam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manikkam
Context triple: [Baashha, mainCharacter, Manikkam]
  • A. Bhavani Kooduthurai
    Bhavani Kooduthurai is a well-known riverbank confluence area near Erode in Tamil Nadu, India, where major rivers meet and attract pilgrims and visitors.
  • B. Krishnakumari
    Krishnakumari is a Bengali literary work by 19th-century poet and dramatist Michael Madhusudan Dutt, known for its pioneering role in modern Bengali drama.
  • C. Vedavalli Thayar
    Vedavalli Thayar is a revered form of the Hindu goddess Lakshmi worshipped as the consort of Lord Parthasarathy at the historic Triplicane Parthasarathy Temple in Chennai.
  • D. S. D. Ezhilmathi
    S. D. Ezhilmathi is an Indian film producer known for backing the acclaimed Tamil black comedy-drama "Super Deluxe."
  • E. Sivagami
    Sivagami is the powerful and principled queen mother and regent of Mahishmati in the Indian epic film "Baahubali: The Beginning."
  • 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: Manikkam
Triple: [Baashha, mainCharacter, Manikkam]
Generated description
Manikkam is the soft-spoken auto-rickshaw driver who secretly hides a powerful and feared past in the Tamil film "Baashha."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Manikkam
Target entity description: Manikkam is the soft-spoken auto-rickshaw driver who secretly hides a powerful and feared past in the Tamil film "Baashha."
  • A. Bhavani Kooduthurai
    Bhavani Kooduthurai is a well-known riverbank confluence area near Erode in Tamil Nadu, India, where major rivers meet and attract pilgrims and visitors.
  • B. Krishnakumari
    Krishnakumari is a Bengali literary work by 19th-century poet and dramatist Michael Madhusudan Dutt, known for its pioneering role in modern Bengali drama.
  • C. Vedavalli Thayar
    Vedavalli Thayar is a revered form of the Hindu goddess Lakshmi worshipped as the consort of Lord Parthasarathy at the historic Triplicane Parthasarathy Temple in Chennai.
  • D. S. D. Ezhilmathi
    S. D. Ezhilmathi is an Indian film producer known for backing the acclaimed Tamil black comedy-drama "Super Deluxe."
  • E. Sivagami
    Sivagami is the powerful and principled queen mother and regent of Mahishmati in the Indian epic film "Baahubali: The Beginning."
  • 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_69cecc72d8c08190b5e063e6de2bbdd2 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.