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 |
—
|
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: Hugh D. Young | Statement: [Sears and Zemansky’s University Physics, hasLaterAuthor, Hugh D. Young]
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 (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_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 29, 2026, 7:50 p.m.