Triple

T11203055
Position Surface form Disambiguated ID Type / Status
Subject Chancer E265088 entity
Predicate starring P1507 FINISHED
Object Susannah Harker E67588 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: Susannah Harker | Statement: [Chancer, starring, Susannah Harker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susannah Harker
Context triple: [Chancer, starring, Susannah Harker]
  • A. Susannah Harker chosen
    Susannah Harker is a British actress best known for her television work in period dramas and series such as "House of Cards" and "Pride and Prejudice."
  • B. Elizabeth Barker
    Elizabeth Barker was the wife of Mayflower passenger and early Plymouth Colony leader Edward Winslow, making her part of the first generation of English settlers in New England.
  • C. Gloria Harker
    Gloria Harker is the daughter of Sophia Petrillo, a character from the classic American sitcom "The Golden Girls."
  • D. Petronella Barker
    Petronella Barker is a British actress best known for her work in film and television during the 1960s and 1970s.
  • E. Susannah
    Susannah is one of the central, romantically entangled characters in Alan Ayckbourn’s comedic stage play "Bedroom Farce."
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4971d537c8190ab53a2ca18d643f3 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.