Triple

T2632312
Position Surface form Disambiguated ID Type / Status
Subject Fantasia E59661 entity
Predicate hasSegment P3574 FINISHED
Object Ave Maria E108188 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: Ave Maria | Statement: [Fantasia, hasSegment, Ave Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ave Maria
Context triple: [Fantasia, hasSegment, Ave Maria]
  • A. Hail Mary chosen
    The Hail Mary is a central Catholic prayer honoring the Virgin Mary and frequently recited in the Rosary.
  • B. Dona Nobis Pacem
    "Dona Nobis Pacem" is a traditional Latin canon often sung a cappella as a simple, meditative plea for peace.
  • C. Te Deum
    Te Deum is a traditional Christian hymn of praise and thanksgiving, historically used in liturgical celebrations and special religious or civic ceremonies.
  • D. Benedicite
    Benedicite is a traditional Christian canticle of praise, derived from the Song of the Three Holy Youths and used in various liturgical services.
  • E. Madonna of the Magnificat
    Madonna of the Magnificat is a late 15th-century tempera painting by Sandro Botticelli depicting the Virgin Mary crowned as Queen of Heaven while writing the Magnificat, surrounded by angels.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c6e540819087c7f92432b27b0f completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a996188190b3a83a31e69d09ef completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.