Triple

T21793733
Position Surface form Disambiguated ID Type / Status
Subject Forerunner E538039 entity
Predicate emphasizesAttributeOfJohnTheBaptist P134184 FINISHED
Object preparing the way of the Lord 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: preparing the way of the Lord | Statement: [Forerunner, emphasizesAttributeOfJohnTheBaptist, preparing the way of the Lord]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesAttributeOfJohnTheBaptist
Context triple: [Forerunner, emphasizesAttributeOfJohnTheBaptist, preparing the way of the Lord]
  • A. emphasizesAttributeOfChrist
    Indicates that something highlights, underscores, or draws special attention to a particular attribute or quality of Christ.
  • B. emphasizesAttributeOfHolySpirit
    Indicates that something highlights, underscores, or draws special attention to a particular attribute or quality of the Holy Spirit.
  • C. viewOfJohnTheBaptist chosen
    Indicates a perspective, depiction, or representation specifically concerning John the Baptist.
  • D. JohnTheBaptistReaction
    Indicates John the Baptist’s response, attitude, or behavior in reaction to a particular event, message, or person.
  • E. emphasizesAttributeOfGanesha
    Indicates that something highlights, stresses, or draws special attention to a particular attribute or quality of Ganesha.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f06221d1f4819089bb113d808d79c2 completed April 28, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69e6be751ce881909badced245ef76c7 completed April 21, 2026, 12:01 a.m.
Created at: April 16, 2026, 6:52 p.m.