Triple

T30311888

Position	Surface form	Disambiguated ID	Type / Status
Subject	Sears and Zemansky’s University Physics	`E770946`	entity
Predicate	hasOriginalAuthors	`P36855`	FINISHED
Object	Francis Weston Sears Francis Weston Sears was an American physicist and educator best known for coauthoring the influential introductory textbook "University Physics."	`E1916545`	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: Francis Weston Sears | Statement: [Sears and Zemansky’s University Physics, hasOriginalAuthors, Francis Weston Sears]

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: Francis Weston Sears
Triple: [Sears and Zemansky’s University Physics, hasOriginalAuthors, Francis Weston Sears]

Generated description

Francis Weston Sears was an American physicist and educator best known for coauthoring the influential introductory textbook "University Physics."

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasOriginalAuthors
Context triple: [Sears and Zemansky’s University Physics, hasOriginalAuthors, Francis Weston Sears]

A. originAuthor
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
B. originalAuthorOfSource chosen
Indicates that an entity is the original creator or author of a given source or work.
C. hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
D. authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
E. hasOriginalLyricist
Indicates that an entity (such as a musical or song) is associated with the person who first wrote its lyrics.
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_69fd05ba6b2c81909c62b46237d10365`	completed	May 7, 2026, 9:35 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a27ac06bfa08190a8e1e9916d3a997c`	completed	June 9, 2026, 6 a.m.
NEDg	Description generation	`batch_6a27ad01814c8190872b5cb87dac1741`	completed	June 9, 2026, 6:04 a.m.
NED2	Entity disambiguation (via description)	`batch_6a27ad6a946c8190a4d6aafcb235849d`	completed	June 9, 2026, 6:06 a.m.
PD	Predicate disambiguation	`batch_69fd03039e48819082b6e12c5453885a`	completed	May 7, 2026, 9:24 p.m.

Created at: April 29, 2026, 7:50 p.m.