Triple

T8813995
Position Surface form Disambiguated ID Type / Status
Subject Mass No. 2 in G major E209732 entity
Predicate movement P81 FINISHED
Object Gloria E54443 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: Gloria | Statement: [Mass No. 2 in G major, movement, Gloria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria
Context triple: [Mass No. 2 in G major, movement, 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 fictional character featured in Green Day’s song “¡Viva La Gloria!” from their rock opera album 21st Century Breakdown.
  • 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 a central human character in the 2023 film "Barbie," portrayed as a Mattel employee and mother whose personal struggles and imagination help bridge the real world with Barbie Land.
  • E. Gloria
    "Gloria" is a 2023 studio album by English singer-songwriter Sam Smith that explores themes of self-acceptance, love, and queer identity through pop and soul-influenced tracks.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff1a4448190b5559f440d264442 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6fb26b148190b66b7138cdf9c97b completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:45 p.m.