Triple

T13577065
Position Surface form Disambiguated ID Type / Status
Subject Shaun Dingwall E324312 entity
Predicate name P16 FINISHED
Object Shaun Dingwall E324312 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: Shaun Dingwall | Statement: [Shaun Dingwall, name, Shaun Dingwall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaun Dingwall
Context triple: [Shaun Dingwall, name, Shaun Dingwall]
  • A. Shaun Dingwall chosen
    Shaun Dingwall is a British actor known for his roles in television dramas such as Doctor Who, Charles II: The Power and the Passion, and Top Boy.
  • B. Duncan Chalk
    Duncan Chalk is a powerful, manipulative media magnate in Robert Silverberg’s science fiction novel "Thorns," known for exploiting others’ pain for entertainment.
  • C. Michael Dugdale
    Michael Dugdale is a central character in the British conspiracy thriller series "Utopia," depicted as a morally conflicted civil servant entangled in a vast and sinister global plot.
  • D. Ian Ritchie
    Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
  • E. Colin Goudie
    Colin Goudie is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02de1988190af2d473973ecd529 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05c844c8190bb4b72d2400a6355 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:48 p.m.