Triple

T18875294
Position Surface form Disambiguated ID Type / Status
Subject The Way I See It E461667 entity
Predicate hasTrack P3284 FINISHED
Object Love That Girl 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 That Girl | Statement: [The Way I See It, hasTrack, Love That Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love That Girl
Context triple: [The Way I See It, hasTrack, Love That Girl]
  • A. Love That Girl chosen
    "Love That Girl" is a soulful R&B song by Raphael Saadiq from his retro-inspired album *The Way I See It*.
  • B. That Girl
    "That Girl" is a soulful R&B/pop song by Justin Timberlake from his 2013 album The 20/20 Experience.
  • C. That Girl
    "That Girl" is a 1981 R&B/soul single by Stevie Wonder, known for its smooth groove, synthesizer-driven production, and chart success in the early 1980s.
  • D. That Girl
    "That Girl" is a soulful, trip-hop-influenced song by Canadian singer-songwriter Esthero, showcasing her smooth vocals and genre-blending style.
  • E. That Girl
    "That Girl" is a 1960s American sitcom starring Marlo Thomas as an aspiring actress in New York City, known as one of the first TV series to focus on an independent single career woman.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3ce07788190a179705eb1b6c824 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.