Triple

T19983922
Position Surface form Disambiguated ID Type / Status
Subject Troubled Blood E493886 entity
Predicate publisher P29 FINISHED
Object Mulholland Books NE NERFINISHED

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: Mulholland Books | Statement: [Troubled Blood, publisher, Mulholland Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mulholland Books
Context triple: [Troubled Blood, publisher, Mulholland Books]
  • A. Mulholland Books chosen
    Mulholland Books is a crime, mystery, and suspense-focused publishing imprint of Little, Brown and Company known for thriller and noir fiction.
  • B. William Morrow and Company
    William Morrow and Company is a long-established American publishing house known for releasing popular fiction and nonfiction titles.
  • C. Riverhead Books
    Riverhead Books is a prominent American publishing imprint known for its innovative and literary fiction and nonfiction titles by acclaimed contemporary authors.
  • D. Mysterious Press
    Mysterious Press is a publishing imprint specializing in mystery, crime, and suspense fiction.
  • E. St. Martin's Press
    St. Martin's Press is a major American book publisher known for its wide range of commercial fiction and nonfiction titles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d157d088190af861608936e59b7 completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.