Triple

T7672834
Position Surface form Disambiguated ID Type / Status
Subject Hannah Montana E173787 entity
Predicate hasSpinOff P7226 FINISHED
Object Hannah Montana: The Movie E173787 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: Hannah Montana: The Movie | Statement: [Hannah Montana, hasSpinOff, Hannah Montana: The Movie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannah Montana: The Movie
Context triple: [Hannah Montana, hasSpinOff, Hannah Montana: The Movie]
  • A. Hannah Montana chosen
    Hannah Montana is a popular Disney Channel television series and media franchise about a teenage girl leading a double life as an ordinary student and a famous pop star.
  • B. High School Musical
    High School Musical is a popular Disney Channel musical film franchise that follows the lives, relationships, and performances of high school students at East High.
  • C. Enchanted
    "Enchanted" is a popular 1959 doo-wop ballad by The Platters, known for its romantic lyrics and smooth vocal harmonies.
  • D. Enchanted
    Enchanted is a 2007 Disney live-action/animated musical fantasy film that playfully subverts classic fairy-tale tropes as an animated princess is transported into modern-day New York City.
  • E. Barbieland
    Barbieland is a vibrant, hyper-stylized fantasy world where various Barbies and Kens live in an idealized matriarchal society.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701de94208190a7627521211452dc completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be205b848190a850abc3f5ac4ef3 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4 p.m.