Triple

T18450912
Position Surface form Disambiguated ID Type / Status
Subject Drupada E450778 entity
Predicate performedYajnaFor P131674 FINISHED
Object getting a son to kill Drona LITERAL 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: getting a son to kill Drona | Statement: [Drupada, performedYajnaFor, getting a son to kill Drona]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: performedYajnaFor
Context triple: [Drupada, performedYajnaFor, getting a son to kill Drona]
  • A. performedSupplication
    Indicates that one entity directed a humble, earnest request or prayer (a supplication) toward another entity.
  • B. hasAltarDedication
    Indicates that an altar is dedicated to, in honor of, or in association with a particular entity or purpose.
  • C. prayedDuring
    Indicates that one entity performed prayer at some time within the duration of another specified event or time interval.
  • D. hasLifecycleRitual
    Indicates that an entity is associated with a ritual or ceremonial practice marking a significant stage or transition in its lifecycle.
  • E. hasVotiveOfferings
    Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
  • F. None of above. chosen

Provenance (4 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52648476c8190a5d8c3297d836f62 completed April 19, 2026, 7 p.m.
PD Predicate disambiguation batch_69e469d05cf4819099baf1665a9cf18a completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2aa72c8190a40854a7a52081e2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:31 a.m.