Triple

T14192422
Position Surface form Disambiguated ID Type / Status
Subject FKA twigs E351744 entity
Predicate hasWorkedWith P9615 FINISHED
Object Arca E144119 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: Arca | Statement: [FKA twigs, hasWorkedWith, Arca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arca
Context triple: [FKA twigs, hasWorkedWith, Arca]
  • A. Arca chosen
    Arca is a Venezuelan experimental electronic music producer, singer, and songwriter known for her avant-garde sound and collaborations with artists like Kanye West, FKA twigs, and Björk.
  • B. Arca South
    Arca South is a master-planned mixed-use business district in Taguig, Metro Manila, being developed as a modern commercial, residential, and lifestyle hub.
  • C. Arcahaie
    Arcahaie is a coastal commune in western Haiti historically known as the birthplace of the Haitian flag.
  • D. Arakoon
    Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
  • E. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.