Triple

T4895654
Position Surface form Disambiguated ID Type / Status
Subject Sweetness (God Help the Child) E109670 entity
Predicate hasGivenName P17 FINISHED
Object Sweetness E109670 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: Sweetness | Statement: [Sweetness (God Help the Child), hasGivenName, Sweetness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweetness
Context triple: [Sweetness (God Help the Child), hasGivenName, Sweetness]
  • A. Sweetness chosen
    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.
  • B. Sweeter
    "Sweeter" is a soulful pop-rock song by American singer-songwriter Gavin DeGraw, known for its catchy melody and emotionally charged lyrics.
  • C. 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.
  • D. Too Sweet
    "Too Sweet" is a soulful, blues-inflected song by Irish singer-songwriter Hozier that explores themes of desire, temptation, and moral conflict.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e27cdf48190bb9bd13bd25b887e completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc665e08190ae067746d6c19018 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.