Triple

T22516490
Position Surface form Disambiguated ID Type / Status
Subject Strongbow E556660 entity
Predicate hasVariant P455 FINISHED
Object Strongbow Original 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: Strongbow Original | Statement: [Strongbow, hasVariant, Strongbow Original]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strongbow Original
Context triple: [Strongbow, hasVariant, Strongbow Original]
  • A. Strongbow Original chosen
    Strongbow Original is a flagship dry apple cider known for its crisp, refreshing taste and wide availability in pubs and stores.
  • B. Strongbow
    Strongbow is a popular global cider brand best known for its crisp, dry apple cider produced by H. P. Bulmer in the United Kingdom.
  • C. Strongbow
    Strongbow was the nickname of Richard de Clare, a 12th-century Anglo-Norman nobleman famed for leading the Norman invasion of Ireland.
  • D. Strongbow Dark Fruit
    Strongbow Dark Fruit is a popular fruit-flavoured cider known for its sweet, berry-forward taste and deep, dark colour.
  • E. Guinness
    Guinness is a world-famous Irish dry stout brand originating from Dublin and known for its dark color, creamy head, and long brewing heritage.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2df59c81909c4ae2f20f1cbb32 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.