Triple

T22340686
Position Surface form Disambiguated ID Type / Status
Subject Tansen Tomb complex E552265 entity
Predicate dedicatedTo P500 FINISHED
Object Mian Tansen 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: Mian Tansen | Statement: [Tansen Tomb complex, dedicatedTo, Mian Tansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mian Tansen
Context triple: [Tansen Tomb complex, dedicatedTo, Mian Tansen]
  • A. Mian Tansen chosen
    Mian Tansen was a legendary 16th-century Hindustani classical musician and one of the most celebrated court singers of Mughal emperor Akbar.
  • B. Tansen
    Tansen is a historic hill town in western Nepal known for its Newari architecture, panoramic Himalayan views, and cultural significance.
  • C. Meera Bai
    Meera Bai was a 16th-century Hindu mystic poet-saint of the Bhakti movement, renowned for her devotional songs dedicated to Lord Krishna.
  • D. Laxmibai
    Laxmibai was the wife of the renowned Kannada poet and Jnanpith awardee D. R. Bendre.
  • E. Sangita Ratnakara
    Sangita Ratnakara is a seminal 13th-century Sanskrit treatise by Śārṅgadeva that systematically codifies and analyzes the theory and practice of Indian classical music and dance.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15783637c8190b77885f4e23d7ee5 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.