Triple

T4916560
Position Surface form Disambiguated ID Type / Status
Subject Tandava E110363 entity
Predicate hasForm P169 FINISHED
Object Uma Tandava E110363 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: Uma Tandava | Statement: [Tandava, hasForm, Uma Tandava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uma Tandava
Context triple: [Tandava, hasForm, Uma Tandava]
  • A. Tandava chosen
    Tandava is the vigorous, cosmic dance of the Hindu god Shiva, symbolizing creation, preservation, and destruction of the universe.
  • B. Nritya Ganapati
    Nritya Ganapati is a dancing form of the Hindu god Ganesha, revered as a joyful bestower of artistic inspiration, success, and auspicious beginnings.
  • C. Launda Naach
    Launda Naach is a traditional North Indian folk performance genre, especially popular in the Bhojpuri-speaking region, featuring male dancers often dressed as women who combine dance, music, and comic or satirical skits.
  • D. Yakshagana
    Yakshagana is a traditional South Indian dance-drama form that combines vibrant costumes, expressive music, and mythological storytelling, especially popular in coastal Karnataka.
  • E. Mohiniyattam
    Mohiniyattam is a classical Indian dance form from Kerala characterized by graceful, flowing movements and expressive storytelling.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa559608190aa8d02b1547b8f97 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c44e91881909513a679886cbdef completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:29 p.m.