Triple

T23246716
Position Surface form Disambiguated ID Type / Status
Subject Kyrie–Gloria–Credo–Sanctus–Agnus Dei E581601 entity
Predicate hasPart P35 FINISHED
Object Gloria
Gloria is the joyful, praise-filled second movement of the traditional Catholic Mass Ordinary, following the Kyrie and preceding the Credo.
E54443 NE FINISHED

How this triple was built (4 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: Gloria | Statement: [Kyrie–Gloria–Credo–Sanctus–Agnus Dei, hasPart, Gloria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria
Context triple: [Kyrie–Gloria–Credo–Sanctus–Agnus Dei, hasPart, Gloria]
  • A. Gloria
    Gloria is a 1980 American crime drama film written and directed by John Cassavetes, starring Gena Rowlands as a tough ex-mobster’s girlfriend protecting a young boy from gangsters.
  • B. Gloria
    "Gloria" is a 1982 dance-pop hit song by American singer Laura Branigan that became one of her signature tracks and a major international success.
  • C. Gloria
    "Gloria" is a work associated with Northern Irish actor Colin Morgan, known for his roles in television, film, and theatre.
  • D. Gloria
    Gloria is a specific horse, likely recognized as an individual member of a larger group or stable of horses.
  • E. Gloria
    Gloria is a municipality located in the province of Oriental Mindoro in the Philippines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gloria
Triple: [Kyrie–Gloria–Credo–Sanctus–Agnus Dei, hasPart, Gloria]
Generated description
Gloria is the joyful, praise-filled second movement of the traditional Catholic Mass Ordinary, following the Kyrie and preceding the Credo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gloria
Target entity description: Gloria is the joyful, praise-filled second movement of the traditional Catholic Mass Ordinary, following the Kyrie and preceding the Credo.
  • A. Gloria
    "Gloria" is the jubilant second movement of Anton Bruckner’s Mass No. 2 in E minor, characterized by its radiant choral writing and liturgical text of praise.
  • B. Gloria
    "Gloria" is the jubilant second movement of Anton Bruckner’s Mass No. 1 in D minor, characterized by its expansive choral writing and liturgical text praising God.
  • C. Gloria chosen
    Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
  • D. Gloria
    Gloria is the jubilant second movement of Antonín Dvořák’s choral Mass in D major, Op. 86, setting the traditional Latin “Gloria” text to music.
  • E. Gloria
    Gloria is a popular choral composition by English composer John Rutter, known for its vibrant, celebratory setting of the Latin Gloria text.
  • F. None of above.

Provenance (5 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f1e8448190b8420a8dc6e24576 completed April 29, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f53f60c8190b0f7d66a360b9897 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4075bc508190ae0dc8b61c24faa0 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c411702a48190ba2964ba221394d1 completed May 19, 2026, 10:53 a.m.
Created at: April 17, 2026, 4:10 p.m.