Triple

T2875479
Position Surface form Disambiguated ID Type / Status
Subject Robert John Riggins E56867 entity
Predicate nickname P55 FINISHED
Object Riggo E54863 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: Riggo | Statement: [Robert John Riggins, nickname, Riggo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riggo
Context triple: [Robert John Riggins, nickname, Riggo]
  • A. Riggo chosen
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • B. Guglielmino
    Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
  • C. Rugantino
    Rugantino is a dramatic work by Gothic novelist and playwright Matthew Gregory Lewis, likely reflecting his flair for dark, sensational storytelling.
  • D. Rocco
    Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
  • E. Rocco
    Rocco is a central character in Beethoven’s opera "Fidelio," serving as the prison jailer whose actions and moral choices significantly influence the drama’s unfolding.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe004a64481908f1897d9054a7368 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db780908190919d859205464b2e completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.