Triple

T23478155
Position Surface form Disambiguated ID Type / Status
Subject Love Over and Over E570325 entity
Predicate hasPart P35 FINISHED
Object Love Over and Over (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: Love Over and Over (song) | Statement: [Love Over and Over, hasPart, Love Over and Over (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Love Over and Over (song)
Context triple: [Love Over and Over, hasPart, Love Over and Over (song)]
  • A. Love Over and Over chosen
    Love Over and Over is a folk music album by Canadian singer-songwriter Anna McGarrigle, created with her sister Kate McGarrigle.
  • B. Over and Over
    "Over and Over" is a song featured on the album "Blush."
  • C. Over and Over
    Over and Over is a notable work by James D. Hargrove, recognized as one of his key creative contributions.
  • D. Over and Over
    "Over and Over" is a 2004 country-rap crossover single by American rapper Nelly featuring Tim McGraw that became a major international hit.
  • E. Over and Over
    "Over and Over" is a lengthy, guitar-driven rock song by Neil Young & Crazy Horse, known for its extended jams and feedback-laden sound on the 1990 album Ragged Glory.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74e7e648190b89006dce7d7ce05 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:02 p.m.