Triple

T16146666
Position Surface form Disambiguated ID Type / Status
Subject How the Grinch Stole Christmas! E391801 entity
Predicate mainCharacter P1183 FINISHED
Object Cindy-Lou Who E391805 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: Cindy-Lou Who | Statement: [How the Grinch Stole Christmas!, mainCharacter, Cindy-Lou Who]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cindy-Lou Who
Context triple: [How the Grinch Stole Christmas!, mainCharacter, Cindy-Lou Who]
  • A. Cindy Lou Who chosen
    Cindy Lou Who is the kind-hearted little girl from Dr. Seuss's "How the Grinch Stole Christmas!" whose innocence and compassion help transform the Grinch.
  • B. Dorothy Vallens
    Dorothy Vallens is a troubled nightclub singer at the center of the dark, surreal mystery in David Lynch's film "Blue Velvet."
  • C. Winnie Cooper
    Winnie Cooper is a central coming-of-age character in the nostalgic TV series "The Wonder Years," known as Kevin Arnold’s childhood friend and love interest.
  • D. Winnie
    Winnie is a central character from the classic American sitcom "Happy Days," known for her role in the show's nostalgic portrayal of 1950s Midwestern life.
  • E. Winnie
    Winnie is a feminine given name, often used as a diminutive of names like Winifred or Gwendolyn.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d947e68819081b4b7c757ce71b6 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a7dc3481909f933acd72d6feff completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.