Triple

T15971637
Position Surface form Disambiguated ID Type / Status
Subject Tony Cox E387337 entity
Predicate appearedIn P795 FINISHED
Object Bad Santa 2 E918771 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: Bad Santa 2 | Statement: [Tony Cox, appearedIn, Bad Santa 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Santa 2
Context triple: [Tony Cox, appearedIn, Bad Santa 2]
  • A. Bad Santa 2 chosen
    Bad Santa 2 is a 2016 dark comedy film and sequel to the 2003 cult hit Bad Santa, following the further misadventures of the crude, alcoholic conman Willie Soke.
  • B. Bad Santa
    Bad Santa is a 2003 dark comedy film about a cynical, alcoholic conman who poses as a mall Santa to rob shopping centers during the holidays.
  • C. Super Bad
    Super Bad is a funk song by James Brown, celebrated for its driving groove, dynamic horn arrangements, and influential role in shaping 1970s funk music.
  • D. Practical Jokers
    Practical Jokers is an album by the band The Swingers, known for its blend of new wave and pop-rock sounds.
  • E. The Wrong Guys
    The Wrong Guys is a 1988 comedy film about former Cub Scouts who reunite as adults for a disastrous camping trip filled with mishaps and misunderstandings.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15729d73c8190a4140a0e55ee2566 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbc6f4c08190b816bf6d92114ad2 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:54 a.m.