Triple

T1715463
Position Surface form Disambiguated ID Type / Status
Subject All In: An Autobiography E37279 entity
Predicate publisher P29 FINISHED
Object Knopf E4567 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: Knopf | Statement: [All In: An Autobiography, publisher, Knopf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knopf
Context triple: [All In: An Autobiography, publisher, Knopf]
  • A. Random House
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • B. 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.
  • C. Doubleday
    Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
  • D. Alfred A. Knopf chosen
    Alfred A. Knopf is a prestigious American publishing house known for its high-quality literary fiction and nonfiction titles.
  • E. Farrar, Straus and Giroux
    Farrar, Straus and Giroux is a prestigious American publishing house renowned for its literary fiction and nonfiction, including numerous award-winning and influential works.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6334cd20819086aed7b8adcba4d9 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58af914c8190a27a834e3097bec7 completed March 9, 2026, 5:20 a.m.
Created at: March 4, 2026, 7:30 p.m.