Triple

T10368167
Position Surface form Disambiguated ID Type / Status
Subject Bad Santa E244308 entity
Predicate starredActor P5563 FINISHED
Object Tony Cox E387337 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: Tony Cox | Statement: [Bad Santa, starredActor, Tony Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Cox
Context triple: [Bad Santa, starredActor, Tony Cox]
  • A. Tony Cox chosen
    Tony Cox is an American actor best known for his comedic roles in films such as "Bad Santa," "Me, Myself & Irene," and various parody movies.
  • B. Tom Georgeson
    Tom Georgeson is a British character actor known for his work in film and television, including roles in comedies, dramas, and crime series.
  • C. Tony McAuliffe
    Tony McAuliffe was a U.S. Army general best known for his defiant reply of "Nuts!" to a German surrender ultimatum during the World War II Battle of the Bulge.
  • D. Ray Davis
    Ray Davis is an American businessman best known as the principal owner and co-chairman of Major League Baseball’s Texas Rangers.
  • E. Ray Davis
    Ray Davis was an American bass singer best known for his work with Parliament-Funkadelic who also briefly performed with The Temptations.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79550b2ec8190ada086ddfeb398af completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:01 p.m.