Triple

T20618920
Position Surface form Disambiguated ID Type / Status
Subject The Nightingale E506645 entity
Predicate starring P1507 FINISHED
Object Aisling Franciosi 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: Aisling Franciosi | Statement: [The Nightingale, starring, Aisling Franciosi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aisling Franciosi
Context triple: [The Nightingale, starring, Aisling Franciosi]
  • A. Aisling Franciosi chosen
    Aisling Franciosi is an Irish-Italian actress known for her roles in projects such as "The Nightingale," "The Fall," and various acclaimed television dramas.
  • B. Siobhan Finneran
    Siobhan Finneran is an English actress known for her versatile roles in television dramas such as Downton Abbey, Happy Valley, and Benidorm.
  • C. Frances O'Connor
    Frances O'Connor is an English-Australian actress known for her work in film and television, including prominent roles in dramas and period pieces.
  • D. Oona Flaherty
    Oona Flaherty is a film editor known for her work on the 2023 adaptation of "Are You There God? It’s Me, Margaret."
  • E. Nicola Coughlan
    Nicola Coughlan is an Irish actress best known for her comedic role in the series "Derry Girls" and for playing Penelope Featherington in the Netflix period drama "Bridgerton."
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abdf9d7c8190969247a4ae55b781 completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:41 a.m.