Triple

T7368782
Position Surface form Disambiguated ID Type / Status
Subject Shanmukha E169937 entity
Predicate hasAlternativeName P39 FINISHED
Object Kumara E161604 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: Kumara | Statement: [Shanmukha, hasAlternativeName, Kumara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kumara
Context triple: [Shanmukha, hasAlternativeName, Kumara]
  • A. Kumara chosen
    Kumara is another name for Kartikeya, the Hindu god of war and the son of Shiva and Parvati, widely revered in South India and Sri Lanka.
  • B. Kaula
    Kaula is a small, uninhabited rocky islet off the coast of Kauai in Hawaii, known for its steep cliffs, seabird colonies, and use as a U.S. Navy bombing range.
  • C. Kunjara
    Kunjara is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • D. Rukmi
    Rukmi is a character in Hindu mythology known as the proud and antagonistic brother of Rukmini, who opposed her marriage to Krishna.
  • E. Kanak
    The Kanak are the indigenous Melanesian people of New Caledonia, known for their distinct languages, customs, and long struggle for cultural recognition and political self-determination.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f17fe278819094eb1dd886583c6a completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802bfaa10819083ab3137dbdeefb6 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:07 p.m.