Triple
T36806498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariadne Utterword |
E909468
|
entity |
| Predicate | workPublicationDateOfFirstAppearance |
P144944
|
FINISHED |
| Object | 1919 |
—
|
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: 1919 | Statement: [Ariadne Utterword, workPublicationDateOfFirstAppearance, 1919]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPublicationDateOfFirstAppearance Context triple: [Ariadne Utterword, workPublicationDateOfFirstAppearance, 1919]
-
A.
workDateOfFirstAppearance
chosen
Indicates the date on which a work first appeared, was released, or was made publicly available.
-
B.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
C.
workFirstPublicationApproximate
Indicates that the date of a work’s first publication is not exact but an approximate or estimated value.
-
D.
firstSerialPublicationYear
Indicates the calendar year in which a work was first published in serial form.
-
E.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
- 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_69f76e7cbbf48190891227b14d041139 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:13 p.m.