Triple

T13057403
Position Surface form Disambiguated ID Type / Status
Subject DJ Got Us Fallin' in Love E327612 entity
Predicate followedBy P78 FINISHED
Object Hot Tottie E1018997 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: Hot Tottie | Statement: [DJ Got Us Fallin' in Love, followedBy, Hot Tottie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot Tottie
Context triple: [DJ Got Us Fallin' in Love, followedBy, Hot Tottie]
  • A. Hot Tottie chosen
    "Hot Tottie" is an R&B song by Usher featuring Jay-Z and Ester Dean, known for its smooth production and appearance on Usher's 2010 album.
  • B. Hot-n-Fun
    "Hot-n-Fun" is a 2010 funk-influenced dance-pop single by N.E.R.D featuring Nelly Furtado, known for its upbeat, party-oriented sound.
  • C. Hot Hot Hot
    "Hot Hot Hot" is a song best known as the B-side to the English post-punk band The Cure’s single "The Walk."
  • D. Titty Boi
    Titty Boi is the former stage name of American rapper 2 Chainz, known for his Southern hip hop style and commercially successful albums.
  • E. Red Hot
    "Red Hot" is a 1993 drama film set in Soviet-era Latvia, following a group of young musicians who risk severe punishment to secretly play Western rock music.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ff8c308190a40274c68a1c5da3 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:58 p.m.