Triple

T8802528
Position Surface form Disambiguated ID Type / Status
Subject Sivakarthikeyan E209445 entity
Predicate notableWork P4 FINISHED
Object Ethir Neechal
Ethir Neechal is a 2013 Tamil-language comedy-drama film that follows an underdog's journey to prove himself through marathon running.
E759164 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: Ethir Neechal | Statement: [Sivakarthikeyan, notableWork, Ethir Neechal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethir Neechal
Context triple: [Sivakarthikeyan, notableWork, Ethir Neechal]
  • A. The Ganachery
    The Ganachery is an artisanal chocolate shop at Disney Springs known for its handcrafted ganache and specialty confections.
  • B. Manthara
    Manthara is a pivotal character in the Indian epic Ramayana, known as Queen Kaikeyi’s scheming maid whose manipulation leads to Rama’s exile.
  • C. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • D. Ettuthokai
    Ettuthokai is a classical Tamil anthology comprising eight collections of early Sangam poems that are central to ancient Tamil literature.
  • E. Pithamagan
    Pithamagan is a 2003 Tamil-language drama film directed by Bala, acclaimed for Vikram’s intense performance as a socially isolated graveyard worker.
  • 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: Ethir Neechal
Triple: [Sivakarthikeyan, notableWork, Ethir Neechal]
Generated description
Ethir Neechal is a 2013 Tamil-language comedy-drama film that follows an underdog's journey to prove himself through marathon running.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ethir Neechal
Target entity description: Ethir Neechal is a 2013 Tamil-language comedy-drama film that follows an underdog's journey to prove himself through marathon running.
  • A. The Ganachery
    The Ganachery is an artisanal chocolate shop at Disney Springs known for its handcrafted ganache and specialty confections.
  • B. Manthara
    Manthara is a pivotal character in the Indian epic Ramayana, known as Queen Kaikeyi’s scheming maid whose manipulation leads to Rama’s exile.
  • C. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • D. Ettuthokai
    Ettuthokai is a classical Tamil anthology comprising eight collections of early Sangam poems that are central to ancient Tamil literature.
  • E. Pithamagan
    Pithamagan is a 2003 Tamil-language drama film directed by Bala, acclaimed for Vikram’s intense performance as a socially isolated graveyard worker.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f799f00819089159da177c816e9 completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf708dbd54819099efa4b5729d6298 completed April 3, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69cf7163e2088190bf252896cc4036b2 completed April 3, 2026, 7:51 a.m.
Created at: March 30, 2026, 6:44 p.m.