Triple

T23261667
Position Surface form Disambiguated ID Type / Status
Subject Baby E582031 entity
Predicate notableSingle P3283 FINISHED
Object Pop Bottles 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: Pop Bottles | Statement: [Baby, notableSingle, Pop Bottles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pop Bottles
Context triple: [Baby, notableSingle, Pop Bottles]
  • A. "Pop Bottles" chosen
    "Pop Bottles" is a hip hop single by rapper Birdman, featuring Lil Wayne, known for its celebratory club theme and heavy Southern rap production.
  • B. Bottles
    Bottles is a bespectacled mole character from the Banjo-Kazooie video game series who tutors the player in new moves and abilities.
  • C. Bottle Pop
    "Bottle Pop" is a dance-pop song by the Pussycat Dolls featuring Snoop Dogg, known for its club-ready production and catchy, flirtatious lyrics.
  • D. Soda Pop
    "Soda Pop" is an upbeat dance-pop song by Britney Spears from her debut album "...Baby One More Time."
  • E. Bottle
    Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c9f33c819082ef6b380fc594dd completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.