Triple

T7672722
Position Surface form Disambiguated ID Type / Status
Subject Disney media franchises E173785 entity
Predicate includes P1393 FINISHED
Object Up E46400 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: Up | Statement: [Disney media franchises, includes, Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Up
Context triple: [Disney media franchises, includes, Up]
  • A. Up chosen
    Up is a critically acclaimed 2009 Pixar animated film that follows an elderly widower and a young boy on a fantastical balloon-lifted house adventure, noted for its emotional depth and imaginative storytelling.
  • B. Up
    "Up" is a 2008 pop-dance single by British-Irish girl group The Saturdays, known for its catchy chorus and chart success in the UK.
  • C. Up
    "Up" is a 2021 hip hop single by American rapper Cardi B known for its aggressive delivery, catchy hook, and viral popularity.
  • D. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • E. UP
    UP is the Indian state of Uttar Pradesh, the country’s most populous state and a major political and cultural center in northern India.
  • 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_69c8a22f74f481909498391bfaf23428 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.