Triple

T20989113
Position Surface form Disambiguated ID Type / Status
Subject Fortitude E516969 entity
Predicate stars P1956 FINISHED
Object Jessica Raine 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: Jessica Raine | Statement: [Fortitude, stars, Jessica Raine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Raine
Context triple: [Fortitude, stars, Jessica Raine]
  • A. Jessica Raine chosen
    Jessica Raine is a British actress best known for her television work, including prominent roles in series such as "Call the Midwife" and various high-profile dramas.
  • B. Hayley Atwell
    Hayley Atwell is a British-American actress best known for portraying Peggy Carter in the Marvel Cinematic Universe.
  • C. Hannah Murray
    Hannah Murray is an English actress best known for her roles as Cassie Ainsworth in the TV series "Skins" and Gilly in "Game of Thrones."
  • D. Carrie Snodgress
    Carrie Snodgress was an American actress best known for her Oscar-nominated role in "Diary of a Mad Housewife" and her work in film and television during the 1970s and 1980s.
  • E. Daisy Johnson
    Daisy Johnson is a powerful Inhuman superhero and skilled S.H.I.E.L.D. agent in Marvel Comics, best known by the codename Quake for her seismic vibration abilities and leadership roles.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5208c8190b8b843b3778589d3 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.