Triple

T23424826
Position Surface form Disambiguated ID Type / Status
Subject Surveillance E560764 entity
Predicate publisher P29 FINISHED
Object Pantheon 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: Pantheon Books | Statement: [Surveillance, publisher, Pantheon Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantheon Books
Context triple: [Surveillance, publisher, Pantheon Books]
  • A. Pantheon Books chosen
    Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
  • B. Pyramid Books
    Pyramid Books was a mid-20th-century American paperback publisher known for releasing science fiction, fantasy, and genre fiction titles.
  • C. Metropolitan Books
    Metropolitan Books is an American publishing imprint known for releasing influential and often politically engaged nonfiction works by prominent intellectuals and public thinkers.
  • D. World Publishing Company
    World Publishing Company was a prominent American book publisher known for producing a wide range of trade and literary titles in the mid-20th century.
  • E. Penguin Press
    Penguin Press is a prominent American publishing imprint known for releasing influential works of contemporary nonfiction and literary fiction.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54951688190a3c5382971af3e41 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:47 p.m.