Triple

T23303799
Position Surface form Disambiguated ID Type / Status
Subject Alejandra Ghersi M. E590377 entity
Predicate stageName P7872 FINISHED
Object Arca 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: Arca | Statement: [Alejandra Ghersi M., stageName, Arca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arca
Context triple: [Alejandra Ghersi M., stageName, 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. Acquaro
    Acquaro is a small town and comune in the Calabria region of southern Italy, known for its rural setting and traditional local culture.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19724de488190ac8eb89253c8dd53 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.