Triple

T14888779
Position Surface form Disambiguated ID Type / Status
Subject Lauren Graham E359697 entity
Predicate starredIn P1668 FINISHED
Object Bad Santa E244308 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 | Statement: [Lauren Graham, starredIn, Bad Santa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Santa
Context triple: [Lauren Graham, starredIn, Bad Santa]
  • A. Bad Santa chosen
    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.
  • B. Bad Santa 2
    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.
  • C. Practical Jokers
    Practical Jokers is an album by the band The Swingers, known for its blend of new wave and pop-rock sounds.
  • D. The Santaland Diaries
    The Santaland Diaries is a humorous autobiographical essay by David Sedaris recounting his experiences working as a Christmas elf at Macy’s in New York City.
  • E. Tucker & Dale vs. Evil
    Tucker & Dale vs. Evil is a 2010 horror-comedy film that parodies slasher tropes through the misadventures of two well-meaning hillbillies mistaken for killers by a group of college students.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f6cf5c8190b6b28f58fafe5d59 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5f22c08190a9530cbd78cfc801 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:09 a.m.