Triple

T10291562
Position Surface form Disambiguated ID Type / Status
Subject Beauty and the Beast Sing-Along E241376 entity
Predicate featuresCharacter P626 FINISHED
Object Chip E695609 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: Chip | Statement: [Beauty and the Beast Sing-Along, featuresCharacter, Chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chip
Context triple: [Beauty and the Beast Sing-Along, featuresCharacter, Chip]
  • A. Chip
    Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
  • B. Chip
    Chip is an American sportscaster best known for his play-by-play announcing of Major League Baseball games, continuing the broadcasting legacy of the Caray family.
  • C. Chip chosen
    Chip is the young teacup character from Disney's "Beauty and the Beast," known for his innocence, curiosity, and close relationship with Mrs. Potts.
  • D. Chip
    Chip is a British rapper and songwriter known for his influential role in the UK grime and hip-hop scenes.
  • E. CHIP
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d281348190bac00cf826689cd7 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f85dcbac8190a2ac66354010e328 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:42 a.m.