Triple

T18227454
Position Surface form Disambiguated ID Type / Status
Subject The Burning Question E436455 entity
Predicate publisher P29 FINISHED
Object Profile Books 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: Profile Books | Statement: [The Burning Question, publisher, Profile Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Profile Books
Context triple: [The Burning Question, publisher, Profile Books]
  • A. Profile Books chosen
    Profile Books is an independent British publishing house known for its diverse range of non-fiction titles, including popular science, history, and current affairs.
  • B. Profile
    Profile is a 2018 screenlife thriller film that unfolds entirely on a computer screen, following an undercover journalist infiltrating online extremist recruitment.
  • C. Pan Books
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • D. Target Books
    Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
  • E. Gallery Books
    Gallery Books is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles, including bestsellers and works by popular contemporary authors.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b0ed5c819096f4fd3a8debc1a4 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.