Triple

T20649962
Position Surface form Disambiguated ID Type / Status
Subject Governor General's Awards E507463 entity
Predicate alsoKnownAs P39 FINISHED
Object GGBooks
GGBooks is the commonly used short name for the Governor General’s Literary Awards, one of Canada’s most prestigious national prizes recognizing excellence in literature.
E1442374 NE FINISHED

How this triple was built (4 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: GGBooks | Statement: [Governor General's Awards, alsoKnownAs, GGBooks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GGBooks
Context triple: [Governor General's Awards, alsoKnownAs, GGBooks]
  • A. 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.
  • B. Pan Books
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • C. Target Books
    Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
  • D. Word Books
    Word Books was a Christian publishing company known for producing religious and inspirational literature.
  • E. ReganBooks
    ReganBooks was a controversial imprint of HarperCollins known for publishing high-profile and politically charged non-fiction titles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GGBooks
Triple: [Governor General's Awards, alsoKnownAs, GGBooks]
Generated description
GGBooks is the commonly used short name for the Governor General’s Literary Awards, one of Canada’s most prestigious national prizes recognizing excellence in literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GGBooks
Target entity description: GGBooks is the commonly used short name for the Governor General’s Literary Awards, one of Canada’s most prestigious national prizes recognizing excellence in literature.
  • A. 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.
  • B. Pan Books
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • C. Target Books
    Target Books is a British publishing imprint best known for its novelizations of classic Doctor Who television stories.
  • D. Word Books
    Word Books was a Christian publishing company known for producing religious and inspirational literature.
  • E. ReganBooks
    ReganBooks was a controversial imprint of HarperCollins known for publishing high-profile and politically charged non-fiction titles.
  • F. None of above. chosen

Provenance (5 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c59354388190b5c2a0c1bdd14575 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c648e35881908c480b0afa383422 completed May 16, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6c6f9608190bdbcdd58f6b14008 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:43 a.m.