Triple

T8550537
Position Surface form Disambiguated ID Type / Status
Subject Tanjore painting E202432 entity
Predicate typicalSubject P494 FINISHED
Object Murugan E111277 NE FINISHED

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: Murugan | Statement: [Tanjore painting, typicalSubject, Murugan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murugan
Context triple: [Tanjore painting, typicalSubject, Murugan]
  • A. Murugan chosen
    Murugan is a prominent Hindu deity of war and victory, especially revered in South India and Sri Lanka, often depicted as a youthful god with a spear and associated with wisdom and valor.
  • B. Duraimurugan
    Duraimurugan is an Indian politician from Tamil Nadu and a senior leader of the Dravida Munnetra Kazhagam (DMK) party.
  • C. Karpagambal
    Karpagambal is the Hindu goddess Parvati worshipped as the consort of Lord Shiva at the Kapaleeshwarar Temple in Mylapore, Chennai.
  • D. Ramanaidu
    Ramanaidu is an Indian given name most notably associated with D. Ramanaidu, a prominent Telugu film producer and founder of Suresh Productions.
  • E. Srinatha
    Srinatha was a renowned 14th–15th century Telugu poet and scholar celebrated for his courtly poetry and major contributions to classical Telugu literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe75589d8819096177ddbd3dafcb6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea868de6881908e87270a1fea0e4b completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:19 p.m.