Triple

T1363298
Position Surface form Disambiguated ID Type / Status
Subject Magi E29144 entity
Predicate symbolismOfMyrrh P129 FINISHED
Object suffering and death of Jesus 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: suffering and death of Jesus | Statement: [Magi, symbolismOfMyrrh, suffering and death of Jesus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: symbolismOfMyrrh
Context triple: [Magi, symbolismOfMyrrh, suffering and death of Jesus]
  • A. symbolizes chosen
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • B. hasSacredSymbol
    Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
  • C. significanceInTheology
    Indicates the importance or influence that something holds within theological beliefs, doctrines, or religious thought.
  • D. signOfCovenant
    Indicates that something serves as a visible or symbolic marker confirming the existence and terms of a covenant between parties.
  • E. sacramentOfHealing
    Indicates a relationship in which a religious sacrament is administered to bring spiritual or physical healing to a person.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b5d05c81908b49e282648e073a completed March 1, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69a4bef945c08190a027472fdd695ea5 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:57 p.m.