Triple

T6867961
Position Surface form Disambiguated ID Type / Status
Subject Helen Wolff E158460 entity
Predicate coFounded P104 FINISHED
Object Pantheon Books E7019 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: Pantheon Books | Statement: [Helen Wolff, coFounded, Pantheon Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantheon Books
Context triple: [Helen Wolff, coFounded, 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. The Viking Press
    The Viking Press is an American publishing company known for releasing influential literary works by prominent authors throughout the 20th century.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a793a481909340239c065393a4 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7511ada2481909491b8f9bd3ead91 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:21 p.m.