Triple
T24437162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parnassianism |
E616156
|
entity |
| Predicate | firstMajorAnthologyPublicationDate |
P156128
|
FINISHED |
| Object | 1866 |
—
|
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: 1866 | Statement: [Parnassianism, firstMajorAnthologyPublicationDate, 1866]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorAnthologyPublicationDate Context triple: [Parnassianism, firstMajorAnthologyPublicationDate, 1866]
-
A.
firstMajorPublication
Indicates the relationship where a work is the earliest significant publication associated with an entity (such as a person or organization).
-
B.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
C.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
D.
firstSerialPublicationYear
Indicates the calendar year in which a work was first published in serial form.
-
E.
firstPublishedWork
Indicates that one work is the earliest piece created or released by a particular creator or entity.
- F. None of above. chosen
Provenance (4 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29786fbcc819090a04bf62c03e9a1 |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:16 a.m.