Triple

T6577937
Position Surface form Disambiguated ID Type / Status
Subject Roel van Velzen E157215 entity
Predicate notableWork P4 FINISHED
Object Love Song E585983 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: [Roel van Velzen, notableWork, Love Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Song
Context triple: [Roel van Velzen, notableWork, Love Song]
  • A. Love Song
    "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.
  • B. Love Song chosen
    "Love Song" is a track by the band Sap, likely featuring their characteristic style and themes within its genre.
  • C. Love in Song
    "Love in Song" is a melancholic, orchestral-tinged track by Paul McCartney and Wings from their 1975 album *Venus and Mars*.
  • D. 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.
  • E. The Ballad of Love
    The Ballad of Love is a poignant song by Russian bard and actor Vladimir Vysotsky that reflects his characteristic blend of emotional intensity, poetic lyricism, and social insight.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae74fd90819091d67eec6381d5e0 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba5cc708190a8748160a7878b8f completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.