Triple

T25092975
Position Surface form Disambiguated ID Type / Status
Subject Padma E628512 entity
Predicate symbolicallyContrastsWith P105505 FINISHED
Object Saleem Sinai’s mythic self-presentation 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: Saleem Sinai’s mythic self-presentation | Statement: [Padma, symbolicallyContrastsWith, Saleem Sinai’s mythic self-presentation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: symbolicallyContrastsWith
Context triple: [Padma, symbolicallyContrastsWith, Saleem Sinai’s mythic self-presentation]
  • A. oftenContrastedWith
    Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
  • B. providesContrastWith
    Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
  • C. symbolicOpposition chosen
    Indicates a relationship where one entity stands in conceptual or representational contrast to another, typically as an opposing symbol, idea, or sign.
  • D. initiallyContrastsWith
    Indicates that one entity is first presented or perceived in opposition or contrast to another entity at the beginning of a sequence, process, or context.
  • E. dramaticContrastWith
    Indicates that one entity is presented in a way that sharply emphasizes differences in tone, style, or impact when compared with another entity.
  • 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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f48b9b687881908fd87a2f5fa0b1e7 completed May 1, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69f48060597c8190a4414e4e4fcb1fec completed May 1, 2026, 10:28 a.m.
Created at: April 18, 2026, 6:24 a.m.