Triple

T14568571
Position Surface form Disambiguated ID Type / Status
Subject Robb Stark E341852 entity
Predicate portrayedBy P1507 FINISHED
Object Richard Madden E62827 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: Richard Madden | Statement: [Robb Stark, portrayedBy, Richard Madden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Madden
Context triple: [Robb Stark, portrayedBy, Richard Madden]
  • A. Richard Madden chosen
    Richard Madden is a Scottish actor best known for his role as Robb Stark in the television series "Game of Thrones" and for starring in various high-profile film and TV productions.
  • B. Robert Crombie
    Robert Crombie is a film producer best known for his work on the action-adventure movie "Soldiers of Fortune."
  • C. Dugald Macfadyen
    Dugald Macfadyen was a British Congregational minister, author, and biographer known for his religious writings and historical works in the late 19th and early 20th centuries.
  • D. Stephen Dillane
    Stephen Dillane is a British actor known for his nuanced performances in film, television, and theatre, including roles in "Game of Thrones," "The Tunnel," and "The Hours."
  • E. Roger Allam
    Roger Allam is an English actor known for his rich baritone voice and versatile performances across film, television, stage, and radio, including roles in projects like "Speed Racer," "Endeavour," and "The Thick of It."
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91437e08190a41683f1777a8507 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:23 a.m.