Triple

T20907065
Position Surface form Disambiguated ID Type / Status
Subject Lauds E514830 entity
Predicate hasAlternativeName P39 FINISHED
Object Morning Prayer NE NERFINISHED

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: Morning Prayer | Statement: [Lauds, hasAlternativeName, Morning Prayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morning Prayer
Context triple: [Lauds, hasAlternativeName, Morning Prayer]
  • A. Matins
    Matins is a traditional Christian liturgical service of morning prayer, especially prominent in monastic and Orthodox worship.
  • B. Daytime Prayer
    Daytime Prayer is one of the fixed daily prayer times in the Christian Liturgy of the Hours, traditionally recited in the middle of the day to sanctify the hours of work.
  • C. Lauds chosen
    Lauds is a traditional morning prayer service in the Liturgy of the Hours in Christian liturgy, typically recited at dawn.
  • D. Sunday AM
    Sunday AM was a British Sunday morning political television programme on the BBC, known for its in-depth interviews and analysis of current affairs.
  • E. Morning
    "Morning" is the opening section of Robert Browning’s verse drama *Pippa Passes*, introducing the day-long journey of the character Pippa and setting the thematic tone of the work.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e900ee7881909ab1046b40dca486 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.