Triple

T12875739
Position Surface form Disambiguated ID Type / Status
Subject Will You Please Be Quiet, Please? E307960 entity
Predicate publisher P29 FINISHED
Object McGraw-Hill E175368 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: McGraw-Hill | Statement: [Will You Please Be Quiet, Please?, publisher, McGraw-Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McGraw-Hill
Context triple: [Will You Please Be Quiet, Please?, publisher, McGraw-Hill]
  • A. McGraw-Hill chosen
    McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
  • B. Wiley
    Wiley is a small unincorporated rural community located in Prowers County in southeastern Colorado.
  • C. Wiley
    Wiley is a pioneering British grime MC and producer, often dubbed the "Godfather of Grime" for his foundational role in shaping the genre.
  • D. Wiley
    Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
  • E. John Wiley & Sons
    John Wiley & Sons is a global publishing company known for its academic, professional, and educational books, journals, and digital content.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970f97f9c81908c75259a4cab1d3c completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb679f88190a1799b73c3f738b6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.