Triple

T12224601
Position Surface form Disambiguated ID Type / Status
Subject Sweeter Live E291316 entity
Predicate basedOnWork P7125 FINISHED
Object Sweeter E983005 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: Sweeter | Statement: [Sweeter Live, basedOnWork, Sweeter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweeter
Context triple: [Sweeter Live, basedOnWork, Sweeter]
  • A. Sweeter chosen
    "Sweeter" is a studio album by American singer-songwriter Gavin DeGraw that blends pop, soul, and rock influences.
  • 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. 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.
  • E. Sweetness
    Sweetness was the iconic nickname of Walter Payton, the legendary Chicago Bears running back widely regarded as one of the greatest players in NFL history.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685045cc8190836433b5682d8a7a completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:51 p.m.