Triple

T14116299
Position Surface form Disambiguated ID Type / Status
Subject Procter & Gamble Company E339784 entity
Predicate brand P1500 FINISHED
Object Bounty 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 | Statement: [Procter & Gamble Company, brand, Bounty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bounty
Context triple: [Procter & Gamble Company, brand, Bounty]
  • 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. The Bounty Hunter
    The Bounty Hunter is a 2010 American action-comedy film starring Jennifer Aniston and Gerard Butler, centered on a bounty hunter tasked with capturing his ex-wife.
  • D. Bounty (1983 film replica ship)
    Bounty (1983 film replica ship) was a full-scale, seaworthy reproduction of the 18th-century Royal Navy vessel HMS Bounty, originally built for the 1984 film "The Bounty" and later used for sailing, tours, and educational purposes.
  • E. Dakiti
    "Dakiti" is a globally popular reggaeton track by Puerto Rican artist Bad Bunny, known for its smooth, atmospheric production and chart-topping success.
  • 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_69fcd0baa328819099511dfa7b9666d3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.