Triple

T14117007
Position Surface form Disambiguated ID Type / Status
Subject Bounty E339798 entity
Predicate hasProductVariant P455 FINISHED
Object Bounty Advanced E339798 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: Bounty Advanced | Statement: [Bounty, hasProductVariant, Bounty Advanced]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bounty Advanced
Context triple: [Bounty, hasProductVariant, Bounty Advanced]
  • A. Bounty chosen
    Bounty is a popular Procter & Gamble paper towel brand known for its high absorbency and durability.
  • B. Bounty Killer
    Bounty Killer is a Jamaican dancehall and reggae deejay known for his gritty delivery, influential 1990s hits, and role in shaping hardcore dancehall music.
  • C. Bounty & Full
    Bounty & Full is Kelis’s artisanal food brand known for its gourmet sauces and culinary products inspired by global flavors.
  • D. The Bolt
    The Bolt is an 18th-century Rococo painting by Jean-Honoré Fragonard, celebrated for its intimate, dramatic depiction of a clandestine lovers’ encounter.
  • E. Teenage Bounty Hunters
    Teenage Bounty Hunters is a comedic teen drama television series that follows twin sisters who balance high school life with working as novice bounty hunters in the American South.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0641008190b88efacc02ba5314 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.