Triple

T36596845
Position Surface form Disambiguated ID Type / Status
Subject Good Men E902825 entity
Predicate practicedAsceticism P76365 FINISHED
Object true 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: true | Statement: [Good Men, practicedAsceticism, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: practicedAsceticism
Context triple: [Good Men, practicedAsceticism, true]
  • A. asceticPracticeDuration
    Indicates the length of time that an ascetic practice is or was undertaken.
  • B. renouncedWorldlyLife
    Indicates that an entity has voluntarily given up worldly life, including material pursuits and social obligations, often in favor of a spiritual or ascetic path.
  • C. hasAsceticType chosen
    Indicates that an entity is associated with or characterized by a specific form or type of ascetic practice or lifestyle.
  • D. viewOnAsceticism
    Indicates a stance or opinion someone holds regarding the value, practice, or principles of asceticism.
  • E. mendicantPractice
    Indicates that an entity engages in the practice of begging or living by alms as a religious or spiritual discipline.
  • 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.