Triple

T22442192
Position Surface form Disambiguated ID Type / Status
Subject Lisa Origliasso E554778 entity
Predicate notableAlbum P4 FINISHED
Object Human (as part of The Veronicas) 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: Human (as part of The Veronicas) | Statement: [Lisa Origliasso, notableAlbum, Human (as part of The Veronicas)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Human (as part of The Veronicas)
Context triple: [Lisa Origliasso, notableAlbum, Human (as part of The Veronicas)]
  • A. The Veronicas chosen
    The Veronicas are an Australian pop-rock duo of twin sisters Lisa and Jessica Origliasso, known for hits like "Untouched" and "4ever."
  • B. Lolly Jonas
    Lolly Jonas is the young protagonist of the novel "Sugar Hill," whose experiences and perspective drive the story’s exploration of family, identity, and coming of age.
  • C. Veronica Hool
    Veronica Hool is a screenwriter best known for co-writing the family drama film "Tortilla Soup."
  • D. Veroni
    Veroni is an Italian surname most notably associated with Adua Veroni, the first wife of singer Luciano Pavarotti.
  • E. Tegan West
    Tegan West is an American actor and screenwriter best known for his role in the Vietnam War film "Hamburger Hill" and for co-writing several film and television projects.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae2f7608190b1c1e8bd12ca2162 completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.