Triple

T3906526
Position Surface form Disambiguated ID Type / Status
Subject C.J. Sansom E87214 entity
Predicate publisher P29 FINISHED
Object Pan Books E12977 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: Pan Books | Statement: [C.J. Sansom, publisher, Pan Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pan Books
Context triple: [C.J. Sansom, publisher, Pan Books]
  • A. Pan Books chosen
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • B. Pocket Books
    Pocket Books is a long-running American mass-market paperback publisher known for popular fiction and non-fiction titles, operating as an imprint of Simon & Schuster.
  • C. Nation Books
    Nation Books is a progressive, politically focused publishing imprint known for releasing works on current affairs, social justice, and investigative journalism.
  • D. Pukapuka
    Pukapuka is a remote, culturally distinctive coral atoll in the northern Cook Islands known for its traditional Polynesian lifestyle and unique language dialect.
  • E. Gallery Books
    Gallery Books is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles, including bestsellers and works by popular contemporary authors.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed1290e48190aaf2d8b2a7be707a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cace2b88190981e3516123a417d completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.