Triple

T10007585
Position Surface form Disambiguated ID Type / Status
Subject Little Voice E198290 entity
Predicate containsSingle P3282 FINISHED
Object Love Song E198285 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: Love Song | Statement: [Little Voice, containsSingle, Love Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Song
Context triple: [Little Voice, containsSingle, Love Song]
  • A. Love Song
    "Love Song" is a folk-influenced ballad by Elton John, written with lyricist Lesley Duncan and known for its gentle melody and introspective lyrics.
  • B. Love Song chosen
    "Love Song" is a 2007 piano-driven pop single by Sara Bareilles that became her breakout hit and is known for its catchy melody and defiant lyrics about artistic independence.
  • C. Love Song
    "Love Song" is a track by the band Sap, likely featuring their characteristic style and themes within its genre.
  • D. Love in Song
    "Love in Song" is a melancholic, orchestral-tinged track by Paul McCartney and Wings from their 1975 album *Venus and Mars*.
  • E. A Love Song
    "A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28209678c8190898d923753bb4472 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:52 p.m.