Triple

T10382699
Position Surface form Disambiguated ID Type / Status
Subject The Coldest City E244680 entity
Predicate author P4 FINISHED
Object Antony Johnston E244680 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: Antony Johnston | Statement: [The Coldest City, author, Antony Johnston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antony Johnston
Context triple: [The Coldest City, author, Antony Johnston]
  • A. Antony Johnston chosen
    Antony Johnston is a British comic book writer and novelist best known for creating the graphic novel "The Coldest City," which was adapted into the film "Atomic Blonde."
  • B. Michael Forsyth
    Michael Forsyth is a British Conservative politician who served as Secretary of State for Scotland in the 1990s and was later elevated to the House of Lords.
  • C. Peter Brett
    Peter Brett Cullen is an American actor known for his extensive work in film and television, including roles in projects like "Apollo 13," "The Dark Knight Rises," and "Joker."
  • D. Jon Cassar
    Jon Cassar is a Canadian director and producer best known for his work on the television series "24" and various high-profile TV miniseries and dramas.
  • E. Mark Lawrence
    Mark Lawrence is a composer known for creating the musical score for the film "David and Lisa."
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e992d8e08190aaa9a04925f52ccc completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e6f30c88190992242b6e0c43581 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:04 p.m.