Triple

T21091280
Position Surface form Disambiguated ID Type / Status
Subject court statement of Nathuram Godse E519641 entity
Predicate subsequentAudience P9280 FINISHED
Object readers of Why I Killed Gandhi 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: readers of Why I Killed Gandhi | Statement: [court statement of Nathuram Godse, subsequentAudience, readers of Why I Killed Gandhi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subsequentAudience
Context triple: [court statement of Nathuram Godse, subsequentAudience, readers of Why I Killed Gandhi]
  • A. secondaryAudience chosen
    Indicates that an entity is a secondary or additional intended audience or target group for another entity (such as a work, message, or product), beyond the primary audience.
  • B. relatesToAudience
    Indicates a general relationship or relevance between something and a particular audience or group of recipients.
  • C. resultForAudience
    Indicates that something is produced or presented specifically to achieve an effect or outcome for a particular audience.
  • D. subsequentRole
    Indicates that one role or position is held after, and in succession to, another role or position.
  • E. audienceComposition
    Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
  • F. None of above.

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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094ea7f881909db83bf6961b41ec completed April 21, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69e5dbfcd5e881908f1e4e0d2d237856 completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:51 p.m.