Triple

T2455488
Position Surface form Disambiguated ID Type / Status
Subject Human Problem Solving E54409 entity
Predicate publisher P29 FINISHED
Object Prentice-Hall E178250 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: Prentice-Hall | Statement: [Human Problem Solving, publisher, Prentice-Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prentice-Hall
Context triple: [Human Problem Solving, publisher, Prentice-Hall]
  • A. Prentice Hall chosen
    Prentice Hall is a major American educational and professional publishing company known for its textbooks and academic titles across a wide range of disciplines.
  • B. McGraw-Hill
    McGraw-Hill is a major American educational publishing company known for producing textbooks and academic resources across a wide range of disciplines.
  • C. Holt, Rinehart and Winston
    Holt, Rinehart and Winston is an American publishing company known for producing a wide range of educational textbooks and notable works of literature.
  • D. 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.
  • E. Addison-Wesley
    Addison-Wesley is a prominent American publishing company known for its influential textbooks and professional books in science, engineering, and computer science.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd105054c819081286729749a347c completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ca655c81908612983ced5f5786 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.