Triple

T3167563
Position Surface form Disambiguated ID Type / Status
Subject Apple iChat E66247 entity
Predicate hasUserInterface P12981 FINISHED
Object Aqua E6178 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: Aqua | Statement: [Apple iChat, hasUserInterface, Aqua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aqua
Context triple: [Apple iChat, hasUserInterface, Aqua]
  • A. Aqua chosen
    Aqua is the distinctive, glossy, and translucent graphical user interface introduced by Apple for macOS, known for its vibrant colors, smooth animations, and skeuomorphic design elements.
  • B. Waterfall
    Waterfall is a modern, upscale mixed-use suburb in Midrand, South Africa, known for its residential estates, business parks, and retail developments.
  • C. Cool Water
    "Cool Water" is a classic Western cowboy song, popularized by the Sons of the Pioneers, that evokes the hardships of desert travel and the longing for water.
  • D. Mika
    Mika is a British-Lebanese pop singer-songwriter known for his flamboyant style and hit singles like "Grace Kelly."
  • E. Crystal
    Crystal is a feminine given name often associated with clarity and beauty, derived from the English word for clear, transparent mineral or glass.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6457acc8190b2b9acbd1cfcdb91 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.