Triple

T15926938
Position Surface form Disambiguated ID Type / Status
Subject Mahershalalhashbaz E386226 entity
Predicate hasScripturalRole P120579 FINISHED
Object name of Isaiah's son 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: name of Isaiah's son | Statement: [Mahershalalhashbaz, hasScripturalRole, name of Isaiah's son]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScripturalRole
Context triple: [Mahershalalhashbaz, hasScripturalRole, name of Isaiah's son]
  • A. hasReligiousRoleEquivalent
    Indicates that two religious roles are considered functionally or hierarchically equivalent within or across religious traditions.
  • B. religiousTextRole
    Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
  • C. hasScripture
    Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
  • D. theologicalRole
    Indicates a relationship where an entity holds or is assigned a specific function, office, or status within a theological or religious framework.
  • E. liturgicalRole
    Indicates the specific function or position an entity holds within a religious or liturgical context.
  • F. None of above. chosen

Provenance (4 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e172b48b308190bc430b2308cbc75b completed April 16, 2026, 11:37 p.m.
PD Predicate disambiguation batch_69e142cf5c548190a931f7b58144cd31 completed April 16, 2026, 8:13 p.m.
PDg Predicate description generation batch_69e172b213e481909ee0c05e16229a26 completed April 16, 2026, 11:37 p.m.
Created at: April 10, 2026, 4:52 a.m.