Triple

T9364663
Position Surface form Disambiguated ID Type / Status
Subject Semo Sancus E225369 entity
Predicate epithet P743 FINISHED
Object Sanctus E239268 NE 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: Sanctus | Statement: [Semo Sancus, epithet, Sanctus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanctus
Context triple: [Semo Sancus, epithet, Sanctus]
  • A. Sanctus chosen
    Sanctus is a central Christian liturgical hymn of praise, traditionally sung during the Eucharistic prayer in many church rites.
  • B. Ver Sacrum
    Ver Sacrum was the official avant-garde art and literary magazine of the Vienna Secession, showcasing the movement’s innovative graphic design and modernist aesthetics.
  • C. Benedicite
    Benedicite is a traditional Christian canticle of praise, derived from the Song of the Three Holy Youths and used in various liturgical services.
  • D. Te Deum
    Te Deum is a traditional Christian hymn of praise and thanksgiving, historically used in liturgical celebrations and special religious or civic ceremonies.
  • E. Agnus Dei
    Agnus Dei is a traditional Christian liturgical chant and devotional motif that invokes Jesus Christ as the sacrificial Lamb of God who takes away the sins of the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:42 p.m.