Triple

T19429289
Position Surface form Disambiguated ID Type / Status
Subject Keshi E486066 entity
Predicate category P87 FINISHED
Object Asuras 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: Asuras | Statement: [Keshi, category, Asuras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asuras
Context triple: [Keshi, category, Asuras]
  • A. Asura chosen
    Asura is a class of powerful, often antagonistic supernatural beings in Indian religions, particularly Hinduism and Buddhism, frequently depicted as rivals of the gods (Devas).
  • B. Rakshasas
    Rakshasas are powerful, shape-shifting demon beings from Hindu mythology, often portrayed as malevolent antagonists in epics like the Ramayana.
  • C. Daityas
    Daityas are a race of powerful and often antagonistic beings in Hindu mythology, typically portrayed as formidable opponents of the gods.
  • D. Devas
    The Devas are celestial gods in Hindu mythology who play pivotal roles in the cosmic order and divine interventions depicted throughout the Ramayana.
  • E. Yazatas
    Yazatas are divine beings or angels in Zoroastrian and Iranian mythology who personify natural and moral forces and are worthy of worship.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321b78d08190b86cef7c60cbb61c completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.