Triple

T7117390
Position Surface form Disambiguated ID Type / Status
Subject Sugar Ray Robinson E165852 entity
Predicate nickName P2937 FINISHED
Object Sugar E614348 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: Sugar | Statement: [Sugar Ray Robinson, nickName, Sugar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar
Context triple: [Sugar Ray Robinson, nickName, Sugar]
  • A. Sugar
    Sugar is a child-friendly, open-source learning platform and graphical interface designed to support education on low-cost laptops like those from the One Laptop per Child project.
  • B. Sugar
    "Sugar" is a 2014 pop song by American band Maroon 5, known for its catchy hook and a music video featuring surprise performances at real weddings.
  • C. Sugar chosen
    Sugar is an American alternative rock band formed by Bob Mould in the early 1990s, known for its melodic yet heavy guitar sound and influential albums like "Copper Blue."
  • D. Sweetener
    Sweetener is Ariana Grande's critically acclaimed fourth studio album, noted for its blend of pop and R&B with innovative production and themes of healing and empowerment.
  • E. Sweetness
    Sweetness is a central character in Toni Morrison’s novel "God Help the Child," known as the light-skinned mother whose harsh treatment of her dark-skinned daughter explores themes of colorism, shame, and maternal love.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e618bdac8190be291468b7d977bb completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cc2bf2081908e912f26f29394bf completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:43 p.m.