Triple

T977755
Position Surface form Disambiguated ID Type / Status
Subject Despicable Me: Minion Mayhem E21094 entity
Predicate manufacturer P490 FINISHED
Object Intamin E114327 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: Intamin | Statement: [Despicable Me: Minion Mayhem, manufacturer, Intamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intamin
Context triple: [Despicable Me: Minion Mayhem, manufacturer, Intamin]
  • A. Intamin chosen
    Intamin is a Swiss-based company renowned worldwide for designing and manufacturing major amusement rides and roller coasters for theme parks.
  • B. KINDAI
    KINDAI is the commonly used abbreviated name for Kindai University, a major private university in Japan known for its broad range of academic programs and research.
  • C. Toyopa Group, LLC
    Toyopa Group, LLC is the original corporate name under which the company now known as Snap Inc., the parent of Snapchat, was first established.
  • D. Mitsubishi Electric
    Mitsubishi Electric is a global Japanese electronics and electrical equipment manufacturer known for producing advanced technologies ranging from factory automation systems and power equipment to large-scale display and video board solutions.
  • E. Kinki Sharyo
    Kinki Sharyo is a Japanese manufacturer specializing in the design and production of railway vehicles, including metro and light rail trains used in systems worldwide.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47861808190be56a7bbd926e658 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cdbd22c819084346de7e729c8a1 completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:40 p.m.