Triple

T9565721
Position Surface form Disambiguated ID Type / Status
Subject Karen Smith E230783 entity
Predicate appearsIn P795 FINISHED
Object Mean Girls E82147 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: Mean Girls | Statement: [Karen Smith, appearsIn, Mean Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mean Girls
Context triple: [Karen Smith, appearsIn, Mean Girls]
  • A. Mean Girls (2004 film) chosen
    Mean Girls (2004 film) is a popular teen comedy film written by Tina Fey that satirizes high school cliques and social dynamics.
  • B. Mean Girls (musical)
    Mean Girls is a Broadway musical comedy, adapted from the 2004 film of the same name, that satirically explores high school cliques and social dynamics through energetic songs and sharp humor.
  • C. Legally Blonde
    Legally Blonde is a popular 2001 comedy film about a sorority girl who enrolls in Harvard Law School to win back her ex-boyfriend and discovers her own intelligence and potential.
  • D. Jennifer's Body
    Jennifer's Body is a 2009 horror-comedy film about a possessed high school girl who preys on her male classmates, written by Diablo Cody and starring Megan Fox and Amanda Seyfried.
  • E. What a Girl Wants
    "What a Girl Wants" is a pop and R&B song by Christina Aguilera that became one of her early signature hits around the turn of the millennium.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996c0a1081908a8356c454e60f74 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17900ae2c819087a83f6c74a59afc completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:04 p.m.