Triple

T19694291
Position Surface form Disambiguated ID Type / Status
Subject Ylla E472912 entity
Predicate publisherOfFirstBookForm P7323 FINISHED
Object Doubleday 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: Doubleday | Statement: [Ylla, publisherOfFirstBookForm, Doubleday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doubleday
Context triple: [Ylla, publisherOfFirstBookForm, Doubleday]
  • A. Doubleday chosen
    Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
  • B. Doubledays
    Doubledays is the nickname of the Auburn Doubledays, a minor league baseball team based in Auburn, New York.
  • C. Random House
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • D. Appleton-Century
    Appleton-Century was an American publishing company known for producing influential academic and scientific works in the early to mid-20th century.
  • E. Henry Holt
    Henry Holt was an American publisher and co-founder of the prominent New York publishing house Henry Holt and Company in the late 19th century.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421385e88190b22b12ab3d851dea completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.