Triple

T1961276
Position Surface form Disambiguated ID Type / Status
Subject Yama E42391 entity
Predicate otherName P39 FINISHED
Object Mrityu
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.
 E218796 NE FINISHED

How this triple was built (4 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: Mrityu | Statement: [Yama, otherName, Mrityu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mrityu
Context triple: [Yama, otherName, Mrityu]
  • A. 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.
  • B. Ghari
    Ghari is an Oceanic language spoken in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
  • C. Tumba
    Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
  • D. Last to Die
    Last to Die is a Magic: The Gathering card, likely a creature or spell, associated with the Magic game universe.
  • E. Fataleka
    Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mrityu
Triple: [Yama, otherName, Mrityu]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mrityu
Target entity description: 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.
  • A. 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.
  • B. Ghari
    Ghari is an Oceanic language spoken in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
  • C. Tumba
    Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
  • D. Last to Die
    Last to Die is a Magic: The Gathering card, likely a creature or spell, associated with the Magic game universe.
  • E. Fataleka
    Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
  • F. None of above. chosen

Provenance (5 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb380bfc08190ae80f8e6570494b8 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd133908190add1c78d91a813ef completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6d7fb08190959ee247d0060f4c completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd2f68f48190ad23db5ca6ae663a completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.