Triple

T14613761
Position Surface form Disambiguated ID Type / Status
Subject Miami Open E343026 entity
Predicate organizer P123 FINISHED
Object IMG E568749 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: IMG | Statement: [Miami Open, organizer, IMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IMG
Context triple: [Miami Open, organizer, IMG]
  • A. IMG chosen
    IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
  • B. Images
    Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
  • C. MPIMG
    MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
  • D. Photos
    Photos is Apple's built-in photo management and editing application for macOS that organizes, syncs, and enhances users' image and video libraries.
  • E. ImageService API
    ImageService API is a component of the Container Runtime Interface responsible for managing container images, including operations like pulling, listing, and removing images.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.