Triple

T7666791
Position Surface form Disambiguated ID Type / Status
Subject Cengage Learning E173642 entity
Predicate brand P1500 FINISHED
Object Wadsworth
Wadsworth is an academic publishing imprint known for producing college-level textbooks and educational materials, particularly in the humanities and social sciences.
 E681007 NE FINISHED

How this triple was built (4 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: Wadsworth | Statement: [Cengage Learning, brand, Wadsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wadsworth
Context triple: [Cengage Learning, brand, Wadsworth]
  • A. Wadsworth
    Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
  • B. Wentworthe
    Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
  • C. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • D. Winslow
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • E. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wadsworth
Triple: [Cengage Learning, brand, Wadsworth]
Generated description
Wadsworth is an academic publishing imprint known for producing college-level textbooks and educational materials, particularly in the humanities and social sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wadsworth
Target entity description: Wadsworth is an academic publishing imprint known for producing college-level textbooks and educational materials, particularly in the humanities and social sciences.
  • A. Wadsworth
    Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
  • B. Wentworthe
    Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
  • C. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • D. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • E. Winslow
    Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
  • F. None of above. chosen

Provenance (5 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a22442dc8190a26c966e7b06f1a9 completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a2ed6a7c8190b5445d8dfd10166d completed March 29, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3937dd08190a1f9e589185a0f93 completed March 29, 2026, 3:59 a.m.
Created at: March 27, 2026, 4 p.m.