Triple

T19813398
Position Surface form Disambiguated ID Type / Status
Subject T. R. Baalu E476001 entity
Predicate givenName P17 FINISHED
Object Thalikottai Raju NE NERFINISHED

How this triple was built (2 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: Thalikottai Raju | Statement: [T. R. Baalu, givenName, Thalikottai Raju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thalikottai Raju
Context triple: [T. R. Baalu, givenName, Thalikottai Raju]
  • A. Kannasamy Nayaka
    Kannasamy Nayaka, better known as Sri Vikrama Rajasinha, was the last king of the Kingdom of Kandy and the final native monarch of Sri Lanka before British colonial rule.
  • B. Velupillai
    Velupillai is a Tamil surname most prominently associated with Velupillai Prabhakaran, the founder and leader of the Liberation Tigers of Tamil Eelam (LTTE) in Sri Lanka.
  • C. M. Sasikumar
    M. Sasikumar is an Indian filmmaker and actor best known for his critically acclaimed Tamil film "Subramaniapuram," which he directed and starred in.
  • D. T. R. Baalu chosen
    T. R. Baalu is an Indian politician from Tamil Nadu, known for his senior leadership roles in the Dravida Munnetra Kazhagam (DMK) and his tenure as a Union Minister.
  • E. K. C. Vijayan
    K. C. Vijayan is a Singaporean professional and alumnus of the prestigious Raffles Institution, likely recognized for notable contributions in his field.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542d7c048190818359cbf430f50e completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:50 p.m.