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 |
—
|
NE NERFINISHED |
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: Francis Weston Sears | Statement: [Sears and Zemansky’s University Physics, hasOriginalAuthors, Francis Weston Sears]
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 (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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: April 29, 2026, 7:50 p.m.