Triple

T18436593
Position Surface form Disambiguated ID Type / Status
Subject Gopal Godse E450407 entity
Predicate positionOnMahatmaGandhi P131594 FINISHED
Object remained unrepentant about the assassination 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: remained unrepentant about the assassination | Statement: [Gopal Godse, positionOnMahatmaGandhi, remained unrepentant about the assassination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnMahatmaGandhi
Context triple: [Gopal Godse, positionOnMahatmaGandhi, remained unrepentant about the assassination]
  • A. positionOnAyodhya
    Indicates a stance, opinion, or viewpoint that one entity holds regarding the Ayodhya issue or topic.
  • B. positionOnGreatMen
    Indicates a stance, view, or theory regarding the role and influence of so-called "great men" (exceptional individuals) in shaping history or significant events.
  • C. hasPositionInMahabharata
    Indicates that one entity holds or is assigned a specific role, rank, or position within the context of the Mahabharata narrative.
  • D. positionInMotto
    Indicates the specific location or order that an element occupies within a motto.
  • E. wasGuruResidenceOf
    Indicates that a particular place served as the residence of a specific guru.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0cd30c8190b8417c264e60d3a5 completed April 19, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69e469c943a4819094c8fdc5971ad3a7 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, 11:29 a.m.