Triple

T20806751
Position Surface form Disambiguated ID Type / Status
Subject Take All My Loves: 9 Shakespeare Sonnets E512180 entity
Predicate featuresArtist P1952 FINISHED
Object Florence Welch NE NERFINISHED

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: Florence Welch | Statement: [Take All My Loves: 9 Shakespeare Sonnets, featuresArtist, Florence Welch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Welch
Context triple: [Take All My Loves: 9 Shakespeare Sonnets, featuresArtist, Florence Welch]
  • A. Florence Welch chosen
    Florence Welch is an English singer, songwriter, and frontwoman of the indie rock band Florence + The Machine, known for her powerful vocals and dramatic, baroque-pop style.
  • B. Fuchsia Sumner
    Fuchsia Sumner is a British actress and filmmaker, known for her work in independent films and for being the daughter of musician Sting and producer Trudie Styler.
  • C. Cate Le Bon
    Cate Le Bon is a Welsh musician and singer-songwriter known for her distinctive, off-kilter art rock and folk-influenced sound.
  • D. Francesca Healy
    Francesca Healy is a musician best known as a member of the Australian indie pop band The Cannanes.
  • E. Lucy Marling
    Lucy Marling is known as the sister of English folk singer-songwriter Laura Marling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cfdee481908e42a1a8940ea40c completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.