Triple

T12350149
Position Surface form Disambiguated ID Type / Status
Subject Henry Sweet E294461 entity
Predicate familyName P18 FINISHED
Object Sweet E505099 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: Sweet | Statement: [Henry Sweet, familyName, Sweet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet
Context triple: [Henry Sweet, familyName, Sweet]
  • A. Sweet chosen
    Sweet is a surname most notably associated with Ossian Sweet, an African American physician whose 1925 trial became a landmark case in the fight against racial housing segregation in the United States.
  • B. 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.
  • C. Sweeter
    "Sweeter" is a soulful pop-rock song by American singer-songwriter Gavin DeGraw, known for its catchy melody and emotionally charged lyrics.
  • 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 is a novel by Swedish author Torgny Lindgren, known for its darkly comic, allegorical exploration of human frailty and moral decay in a rural setting.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab066108190bba8eca95d3e0a81 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.