Triple

T9118996
Position Surface form Disambiguated ID Type / Status
Subject Mrityu E218796 entity
Predicate hasNameInSanskrit P21581 FINISHED
Object Mṛtyu E218796 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: Mṛtyu | Statement: [Mrityu, hasNameInSanskrit, Mṛtyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mṛtyu
Context triple: [Mrityu, hasNameInSanskrit, Mṛtyu]
  • A. Mrityu chosen
    Mrityu is a personification of death in Hindu mythology, closely associated with the god Yama as an embodiment of mortality and the end of life.
  • B. Mrityukshuda
    Mrityukshuda is a Bengali novel by Kazi Nazrul Islam that explores themes of poverty, social injustice, and revolutionary struggle in early 20th-century Bengal.
  • C. Mortus
    Mortus is the main villain of the 1995 Sega Genesis beat ’em up game Comix Zone, a demonic comic-book creator who brings his own drawings to life to battle the hero.
  • D. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • E. Jeevan Mrityu
    Jeevan Mrityu is an Indian film produced by AVM Productions, recognized as one of the notable titles in the studio’s catalog.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a7c6d48190a015efd17a017ca1 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307c9f608190aad73bcf82ae334e completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.