Triple

T6235361
Position Surface form Disambiguated ID Type / Status
Subject Poison E139462 entity
Predicate hasGuestArtist P10644 FINISHED
Object Giggs E212010 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: Giggs | Statement: [Poison, hasGuestArtist, Giggs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giggs
Context triple: [Poison, hasGuestArtist, Giggs]
  • A. Giggs chosen
    Giggs is a British rapper and songwriter from London known for his deep voice and influential role in the UK rap and grime scenes.
  • B. Ryan Giggs
    Ryan Giggs is a Welsh former professional footballer widely regarded as one of the greatest wingers of his generation and a club legend for his long, trophy-laden career at Manchester United.
  • C. Athole Shearer
    Athole Shearer was a Canadian-born actress and the younger sister of Hollywood star Norma Shearer, known for her brief film career and marriage to director Howard Hawks.
  • D. Owen Hargreaves
    Owen Hargreaves is a former professional footballer best known as a versatile midfielder who played for Bayern Munich, Manchester United, and the England national team.
  • E. John Barnes
    John Barnes is a former professional footballer best known as a star winger for Liverpool and the England national team during the 1980s and early 1990s.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062f236608190997e77b41095883f completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20df60e488190933b7fa068e96cc4 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.