Triple

T17276063
Position Surface form Disambiguated ID Type / Status
Subject Factor Four E419394 entity
Predicate publisher P29 FINISHED
Object Earthscan
Earthscan is an independent publishing imprint known for its books on environmental sustainability, climate change, and sustainable development.
E1260758 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: Earthscan | Statement: [Factor Four, publisher, Earthscan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earthscan
Context triple: [Factor Four, publisher, Earthscan]
  • A. Westview Press
    Westview Press is an academic publishing imprint known for producing scholarly and educational books, particularly in the social sciences and humanities.
  • B. Island Press
    Island Press is an environmental nonprofit publisher specializing in books and resources on ecology, conservation, and sustainable solutions.
  • C. CRC Press
    CRC Press is a prominent academic and professional publisher, best known for its extensive catalog of scientific, technical, and medical books and reference works.
  • D. K. G. Saur
    K. G. Saur is a German publishing house known for its specialized reference works and scholarly publications in library and information science.
  • E. Jossey-Bass
    Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
  • 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: Earthscan
Triple: [Factor Four, publisher, Earthscan]
Generated description
Earthscan is an independent publishing imprint known for its books on environmental sustainability, climate change, and sustainable development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Earthscan
Target entity description: Earthscan is an independent publishing imprint known for its books on environmental sustainability, climate change, and sustainable development.
  • A. Westview Press
    Westview Press is an academic publishing imprint known for producing scholarly and educational books, particularly in the social sciences and humanities.
  • B. Island Press
    Island Press is an environmental nonprofit publisher specializing in books and resources on ecology, conservation, and sustainable solutions.
  • C. CRC Press
    CRC Press is a prominent academic and professional publisher, best known for its extensive catalog of scientific, technical, and medical books and reference works.
  • D. K. G. Saur
    K. G. Saur is a German publishing house known for its specialized reference works and scholarly publications in library and information science.
  • E. Jossey-Bass
    Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332625c48190a25bf51543d797c3 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794f6cf481909d76e3d61f9888c5 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a017b5abdc481909832a6e46d21b34b completed May 11, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_6a017bcf8a6081908922f5ef2673abae completed May 11, 2026, 6:48 a.m.
Created at: April 10, 2026, 5:40 a.m.