Triple

T7053962
Position Surface form Disambiguated ID Type / Status
Subject Pat Mitchell E164037 entity
Predicate publisher P29 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: [Pat Mitchell, publisher, Seal Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seal Press
Context triple: [Pat Mitchell, publisher, 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. Mysterious Press
    Mysterious Press is a publishing imprint specializing in mystery, crime, and suspense fiction.
  • D. Signet Books
    Signet Books is an American paperback publishing imprint known for releasing popular fiction and genre titles, including works by major authors such as Stephen King.
  • E. 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.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e265ea348190a9bd3807c0d605d8 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788980b50819085473407a176e04b completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.