Triple
T32011090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Cheyne Jr. |
E817402
|
entity |
| Predicate | firstPublicationYearOfWorkFeaturing |
P133343
|
FINISHED |
| Object | 1897 |
—
|
LITERAL FINISHED |
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: 1897 | Statement: [Harvey Cheyne Jr., firstPublicationYearOfWorkFeaturing, 1897]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationYearOfWorkFeaturing Context triple: [Harvey Cheyne Jr., firstPublicationYearOfWorkFeaturing, 1897]
-
A.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
B.
firstPublicationYearOfWorkFeaturingCharacter
chosen
Indicates the year in which the first published work featuring the given character was released.
-
C.
firstPublishedWork
Indicates that one work is the earliest piece created or released by a particular creator or entity.
-
D.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
E.
firstPerformanceOfWorkAppearedIn
Indicates that a given performance is the earliest known or documented performance in which a particular work was presented or appeared.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:15 a.m.