Triple

T15443839
Position Surface form Disambiguated ID Type / Status
Subject A Fighting Chance E369976 entity
Predicate publisher P29 FINISHED
Object Metropolitan Books E8357 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: Metropolitan Books | Statement: [A Fighting Chance, publisher, Metropolitan Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolitan Books
Context triple: [A Fighting Chance, publisher, Metropolitan Books]
  • A. Metropolitan Books chosen
    Metropolitan Books is an American publishing imprint known for releasing influential and often politically engaged nonfiction works by prominent intellectuals and public thinkers.
  • B. 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.
  • C. Pantheon Books
    Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
  • D. Mysterious Press
    Mysterious Press is a publishing imprint specializing in mystery, crime, and suspense fiction.
  • E. Scribner Books
    Scribner Books is a prominent American publishing imprint, historically known for releasing works by major literary figures such as F. Scott Fitzgerald and Ernest Hemingway.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef666e08190a02a01a676306ab9 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21ab80288190a1a4df8b714bba66 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.