Triple

T3211567
Position Surface form Disambiguated ID Type / Status
Subject Florence and the Machine E67292 entity
Predicate hasMember P10 FINISHED
Object Florence Welch E305283 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: Florence Welch | Statement: [Florence and the Machine, hasMember, Florence Welch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Welch
Context triple: [Florence and the Machine, hasMember, 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. Lucy Marling
    Lucy Marling is known as the sister of English folk singer-songwriter Laura Marling.
  • C. Laura Marling
    Laura Marling is an English folk singer-songwriter and guitarist acclaimed for her introspective lyrics and distinctive, mature vocal style.
  • D. Laetitia Sadier
    Laetitia Sadier is a French musician and singer-songwriter best known as the vocalist and co-founder of the avant-pop band Stereolab.
  • E. Paloma Faith
    Paloma Faith is an English singer, songwriter, and actress known for her soulful retro-inspired music and distinctive theatrical style.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaaba224c8190ad2f4e0ed1c2ca4a completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2771204e0819086ae2838a368589a completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.