Triple

T30311890
Position Surface form Disambiguated ID Type / Status
Subject Sears and Zemansky’s University Physics E770946 entity
Predicate hasLaterAuthor P171523 FINISHED
Object Hugh D. Young
Hugh D. Young was an American physicist and educator best known for his long-standing role as a coauthor of the widely used introductory textbook "University Physics."
 E1909570 NE FINISHED

How this triple was built (3 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: Hugh D. Young | Statement: [Sears and Zemansky’s University Physics, hasLaterAuthor, Hugh D. Young]
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: Hugh D. Young
Triple: [Sears and Zemansky’s University Physics, hasLaterAuthor, Hugh D. Young]
Generated description
Hugh D. Young was an American physicist and educator best known for his long-standing role as a coauthor of the widely used introductory textbook "University Physics."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLaterAuthor
Context triple: [Sears and Zemansky’s University Physics, hasLaterAuthor, Hugh D. Young]
  • A. isLaterWorkOfAuthor
    Indicates that one work by an author was created or published after another work by the same author.
  • B. hasAuthorLaterRole
    Indicates that an author of a work later took on an additional or subsequent role related to that work or its context.
  • C. subsequentAuthor chosen
    Indicates that one author comes after another in an ordered sequence of authorship, such as in a list of contributors to a work.
  • D. hasLaterPublicationType
    Indicates that one publication is followed by another publication that has a different, later-assigned publication type.
  • E. authorLaterBecame
    Indicates that the subject, who is an author of something, subsequently took on or transitioned into the role or status specified by the object at a later time.
  • F. None of above.

Provenance (6 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_69f22488f224819081b0f3ec41ab975c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd9ff026a48190bfec33deeb3b2c43 completed May 8, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a277c12f1d481908df84fc268da915b completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277d5030c48190876686998093115b completed June 9, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a277d8a6470819089d082e4533d58ca completed June 9, 2026, 2:42 a.m.
PD Predicate disambiguation batch_69fd97d805bc8190ba12f429d3ad04c7 completed May 8, 2026, 7:59 a.m.
Created at: April 29, 2026, 7:50 p.m.