Triple

T6079299
Position Surface form Disambiguated ID Type / Status
Subject Psalm 50 E135481 entity
Predicate literaryDivision P18697 FINISHED
Object Opening summons of God as judge 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: Opening summons of God as judge | Statement: [Psalm 50, literaryDivision, Opening summons of God as judge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryDivision
Context triple: [Psalm 50, literaryDivision, Opening summons of God as judge]
  • A. literaryGenreOfWork
    Indicates that a work belongs to or is classified under a particular literary genre.
  • B. literarySubject
    Indicates that one entity serves as the subject, topic, or focus of a literary work created by another entity.
  • C. literaryUnit chosen
    Indicates that one entity is a distinct segment or component (such as a chapter, scene, or passage) within a larger literary work or text.
  • D. inLiterature
    Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
  • E. literaryUniverse
    Indicates that two or more works of literature exist within the same fictional universe or continuity, sharing settings, characters, or canonical events.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0577209b88190afe5b1365cf6436d completed March 22, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69c049f21fe08190995df3c5c05fb8ea completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:11 p.m.