Triple

T13275637
Position Surface form Disambiguated ID Type / Status
Subject I'm Thinking of Ending Things E316181 entity
Predicate publisher P29 FINISHED
Object Gallery Books E22622 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: Gallery Books | Statement: [I'm Thinking of Ending Things, publisher, Gallery Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallery Books
Context triple: [I'm Thinking of Ending Things, publisher, Gallery Books]
  • A. Gallery Books chosen
    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. Word Books
    Word Books was a Christian publishing company known for producing religious and inspirational literature.
  • C. Pan Books
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • D. Wave Books
    Wave Books is an independent American poetry press known for publishing innovative contemporary poetry and hybrid literary works.
  • E. Books Division
    The Books Division is the publishing arm of the University of Chicago Press responsible for producing and distributing its scholarly and general-interest books.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a54ff488190a759b46963c0d842 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.