Triple

T7121392
Position Surface form Disambiguated ID Type / Status
Subject Hindu temple architecture E165957 entity
Predicate hasStyle P1609 FINISHED
Object Nayaka E318345 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: Nayaka | Statement: [Hindu temple architecture, hasStyle, Nayaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nayaka
Context triple: [Hindu temple architecture, hasStyle, Nayaka]
  • A. Nayaka chosen
    Nayaka refers to a South Indian-origin royal and warrior community historically influential in the politics and courts of Sri Lanka and southern India.
  • B. Vetrimaaran
    Vetrimaaran is an acclaimed Indian filmmaker and screenwriter known for his gritty, realistic Tamil-language films and multiple National Film Awards.
  • C. Rajakumarudu
    Rajakumarudu is a 1999 Telugu romantic comedy film that marked the rise of Mahesh Babu as a major star in the South Indian film industry.
  • D. Nayakan
    Nayakan is a critically acclaimed 1987 Tamil crime drama film directed by Mani Ratnam, renowned for Kamal Haasan’s powerful performance and its portrayal of a Mumbai underworld don.
  • E. Kaaka Muttai
    Kaaka Muttai is a critically acclaimed Tamil film that follows two slum-dwelling brothers on a humorous yet poignant quest to taste pizza, exploring themes of class, aspiration, and urban poverty.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61e67788190959fbd7fa6c929d3 completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a32ba9588190a078723207c4f823 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.