Triple

T6516951
Position Surface form Disambiguated ID Type / Status
Subject Miles Gone By E148288 entity
Predicate publisher P29 FINISHED
Object Regnery Publishing E143777 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: Regnery Publishing | Statement: [Miles Gone By, publisher, Regnery Publishing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regnery Publishing
Context triple: [Miles Gone By, publisher, Regnery Publishing]
  • A. Regnery Publishing chosen
    Regnery Publishing is a prominent American conservative book publisher known for releasing influential right-leaning political and historical works.
  • B. Harper & Row
    Harper & Row was a major American publishing house known for producing influential works in literature, education, and academic scholarship.
  • C. Henry Regnery Company
    Henry Regnery Company was a prominent American conservative publishing house known for issuing influential right-leaning political and intellectual works in the mid-20th century.
  • D. Pantheon Books
    Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
  • E. Mysterious Press
    Mysterious Press is a publishing imprint specializing in mystery, crime, and suspense fiction.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0ece2081909c14accef90efd7c completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e411e0408190baf79f552a33a56c completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:44 p.m.