Triple

T20619717
Position Surface form Disambiguated ID Type / Status
Subject John Rutter E506665 entity
Predicate notableWork P4 FINISHED
Object Gloria
Gloria is a popular choral composition by English composer John Rutter, known for its vibrant, celebratory setting of the Latin Gloria text.
E1441525 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: [John Rutter, notableWork, Gloria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria
Context triple: [John Rutter, notableWork, Gloria]
  • A. Gloria
    "Gloria" is a 2019 folk-rock single by American band The Lumineers, known for its raw portrayal of addiction and family struggle.
  • B. Gloria
    Gloria is the friendly, strong-willed hippopotamus from the Madagascar animated film series who often teams up with King Julien and the other zoo animals.
  • C. Gloria
    Gloria is an American sitcom centered on Gloria Stivic, the daughter from "All in the Family," as she navigates life as a single mother.
  • D. Gloria
    "Gloria" is a classic 1964 rock song by Van Morrison, originally recorded with his band Them and later widely covered, known for its simple three-chord structure and iconic shouted chorus.
  • E. Gloria
    "Gloria" is a stage play by Branden Jacobs-Jenkins that satirically explores ambition, trauma, and media exploitation within the culture of a New York publishing office.
  • 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: [John Rutter, notableWork, Gloria]
Generated description
Gloria is a popular choral composition by English composer John Rutter, known for its vibrant, celebratory setting of the Latin Gloria text.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gloria
Target entity description: Gloria is a popular choral composition by English composer John Rutter, known for its vibrant, celebratory setting of the Latin Gloria text.
  • A. Gloria
    Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
  • B. Gloria
    "Gloria" is a classic 1964 rock song by Van Morrison, originally recorded with his band Them and later widely covered, known for its simple three-chord structure and iconic shouted chorus.
  • C. 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.
  • D. Gloria
    "Gloria" is a 2019 folk-rock single by American band The Lumineers, known for its raw portrayal of addiction and family struggle.
  • E. Gloria
    Gloria is a fictional character featured in Green Day’s song “¡Viva La Gloria!” from their rock opera album 21st Century Breakdown.
  • F. None of above. chosen

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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe0e22c81909f6efe21518e33f0 completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1776588190923236057cfd1b8f completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bdd076f08190a6663d891d503a29 completed May 16, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a08be4eddbc8190b02a5b8b96ee6a29 completed May 16, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:41 a.m.