Triple

T11265342
Position Surface form Disambiguated ID Type / Status
Subject Electricity and Magnetism E266669 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: [Electricity and Magnetism, publisher, McGraw-Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McGraw-Hill
Context triple: [Electricity and Magnetism, 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 masculine given name, often associated with notable American figures such as aviator Wiley Post.
  • D. John Wiley & Sons
    John Wiley & Sons is a global publishing company known for its academic, professional, and educational books, journals, and digital content.
  • E. W. H. Freeman and Company
    W. H. Freeman and Company is an academic publishing house best known for producing influential college-level science and mathematics textbooks.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccc7fdc48190a84b8b584f67b464 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.