Triple

T1308077
Position Surface form Disambiguated ID Type / Status
Subject Hachette Book Group E27925 entity
Predicate subsidiary P258 FINISHED
Object Seal Press E150722 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: Seal Press | Statement: [Hachette Book Group, subsidiary, Seal Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seal Press
Context triple: [Hachette Book Group, subsidiary, Seal Press]
  • A. Seal Press chosen
    Seal Press is a publishing imprint known for releasing books that focus on women's issues, feminism, and diverse female voices.
  • B. Running Press
    Running Press is a publishing imprint known for producing a wide range of illustrated books, gift books, and novelty titles.
  • C. Signet Press
    Signet Press is an influential Indian publishing house known for producing high-quality literary and historical works, including major titles of the independence era.
  • D. The Viking Press
    The Viking Press is an American publishing company known for releasing influential literary works by prominent authors throughout the 20th century.
  • E. Pantheon Books
    Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c13806b48190a0db33f8e5d53734 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf27639081908bd91bb904a58d32 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:51 p.m.