Triple

T34375277
Position Surface form Disambiguated ID Type / Status
Subject Mark 16:1 E882268 entity
Predicate mentionsReligiousPractice P126276 FINISHED
Object anointing the dead with spices 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: anointing the dead with spices | Statement: [Mark 16:1, mentionsReligiousPractice, anointing the dead with spices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mentionsReligiousPractice
Context triple: [Mark 16:1, mentionsReligiousPractice, anointing the dead with spices]
  • A. practicesReligion
    Indicates that an entity actively follows, observes, or participates in the beliefs, rituals, and customs of a particular religion.
  • B. hasReligiousObservance chosen
    Indicates that an entity practices, observes, or participates in a particular religious rite, ceremony, or tradition.
  • C. associatedReligionOrBelief
    Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
  • D. religiousGroupMentioned
    Indicates that a religious group is referenced or mentioned in the given context or statement.
  • E. isUsedByReligion
    Indicates that something (such as an object, practice, text, or symbol) is employed or utilized within the context of a particular religion.
  • 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_69f349bf5d7481908dd5da4cbdf74047 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71c35327c8190884f1bfe12bd2cd7 completed May 3, 2026, 9:58 a.m.
PD Predicate disambiguation batch_69f71822d0e88190ac9731c7ae5a4def completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 1:59 a.m.