Triple

T8270417
Position Surface form Disambiguated ID Type / Status
Subject 1995 NHL All-Star Game E193412 entity
Predicate linesman P32073 FINISHED
Object Ray Scapinello E270640 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: Ray Scapinello | Statement: [1995 NHL All-Star Game, linesman, Ray Scapinello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Scapinello
Context triple: [1995 NHL All-Star Game, linesman, Ray Scapinello]
  • A. Ray Scapinello chosen
    Ray Scapinello is a renowned former National Hockey League linesman known for his long, distinguished officiating career and induction into the Hockey Hall of Fame.
  • B. Joe Corallo
    Joe Corallo is a comic book writer and editor known for his work on independent and genre titles in the modern comics scene.
  • C. Frank Santillo
    Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
  • D. Greg Corrado
    Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
  • E. Greg Maffei
    Greg Maffei is an American business executive best known as the longtime president and CEO of Liberty Media, overseeing its diverse portfolio of media, communications, and entertainment assets.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795243fc8190a66afef7476e1147 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cea7f7060c81908ad70682063c66f1 completed April 2, 2026, 5:31 p.m.
Created at: March 30, 2026, 5:50 p.m.