Triple

T2082422
Position Surface form Disambiguated ID Type / Status
Subject Imagination! E45272 entity
Predicate hasAttraction P105 FINISHED
Object ImageWorks E222755 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: ImageWorks | Statement: [Imagination!, hasAttraction, ImageWorks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ImageWorks
Context triple: [Imagination!, hasAttraction, ImageWorks]
  • A. Corel Centre
    Corel Centre was the original name of the multi-purpose arena in Ottawa, Ontario, that serves as the home of the NHL’s Ottawa Senators.
  • B. MCICOM
    MCICOM is the United States Marine Corps command responsible for overseeing, managing, and supporting Marine Corps installations worldwide.
  • C. Mikros Image chosen
    Mikros Image is a visual effects and animation studio known for its work on feature films and animated projects.
  • D. Immunix
    Immunix was a security-focused software company known for developing Linux security technologies, including the precursor to the AppArmor mandatory access control system.
  • E. Indigo workstations
    Indigo workstations were a line of high-performance graphics and visualization computers produced by Silicon Graphics (SGI) in the early 1990s, widely used in fields like animation, scientific computing, and 3D design.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba5097ac8190a723a8af2982238c completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273d3f5881909fa6d935fa85c225 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.