Triple

T17076726
Position Surface form Disambiguated ID Type / Status
Subject Starry E414366 entity
Predicate hasVariant P455 FINISHED
Object Starry Zero Sugar E414358 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: Starry Zero Sugar | Statement: [Starry, hasVariant, Starry Zero Sugar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starry Zero Sugar
Context triple: [Starry, hasVariant, Starry Zero Sugar]
  • A. Candydrip
    Candydrip is a 2022 R&B album by American singer-songwriter Lucky Daye, known for its lush production and sensual, futuristic soul sound.
  • B. Red Bull Sugarfree
    Red Bull Sugarfree is a zero-sugar version of the original Red Bull energy drink, formulated to provide a similar energy boost with fewer calories.
  • C. Sprite Zero Sugar chosen
    Sprite Zero Sugar is a sugar-free, zero-calorie lemon-lime soft drink that offers the classic Sprite flavor without the added sugar.
  • D. Sunset Sarsaparilla
    Sunset Sarsaparilla is a fictional Old West–themed soft drink brand in the Fallout video game series, known for its collectible star bottle caps and rivalry with Nuka-Cola.
  • E. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc559388190b685504cca6ed62b completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edfda588190aff6c6d4c8d64ddd completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.