Triple

T18614380
Position Surface form Disambiguated ID Type / Status
Subject Gloria E454978 entity
Predicate hasSingle P3282 FINISHED
Object Gloria (song) NE NERFINISHED

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 (song) | Statement: [Gloria, hasSingle, Gloria (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria (song)
Context triple: [Gloria, hasSingle, Gloria (song)]
  • A. Gloria (Umberto Tozzi song) chosen
    "Gloria" is an Italian pop song by Umberto Tozzi, later popularized internationally through Laura Branigan’s English-language cover.
  • B. Gloria's Eyes
    "Gloria's Eyes" is a song by Bruce Springsteen from his 1992 rock album "Human Touch."
  • C. Gloria! (album)
    Gloria! is a 1998 dance-pop and Latin-influenced studio album by Cuban-American singer Gloria Estefan that showcases her shift toward club-oriented music.
  • D. Glory of Love
    "Glory of Love" is a 1986 power ballad best known as Peter Cetera’s hit single and the love theme from the film *The Karate Kid Part II*.
  • E. The Glory of Love
    "The Glory of Love" is a classic romantic pop ballad best known for its heartfelt lyrics and soaring melody, often associated with film soundtracks and sentimental moments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d03feb88190bbd8889273d82f7f completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.