Triple

T11292836
Position Surface form Disambiguated ID Type / Status
Subject Warroad Warriors E267369 entity
Predicate notableAlumni P51 FINISHED
Object Gino Guyer E267372 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: Gino Guyer | Statement: [Warroad Warriors, notableAlumni, Gino Guyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gino Guyer
Context triple: [Warroad Warriors, notableAlumni, Gino Guyer]
  • A. Gino Guyer chosen
    Gino Guyer is an American ice hockey player known for his standout high school career at Warroad and subsequent collegiate and professional play.
  • B. Gino Cervi
    Gino Cervi was an Italian actor best known for his roles in classic European cinema and for portraying the character Peppone in the popular Don Camillo film series.
  • C. Giovanni Michelucci
    Giovanni Michelucci was an influential 20th-century Italian architect and urban planner known for his modernist yet human-centered designs and major public works.
  • D. Daniel Giorgetti
    Daniel Giorgetti is a British composer known for his atmospheric and dramatic scores for film and television, including the BBC series "The Hour."
  • E. Dominick Fernow
    Dominick Fernow is an American experimental musician and producer best known for his influential noise and industrial projects such as Prurient and Vatican Shadow, as well as for running the Hospital Productions label.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98b149481909f432a6b9ef8bfbb completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f4a57d6881909a1e65744111ad8b completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.