Triple
T17695295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariadne auf Naxos (libretto) |
E441148
|
entity |
| Predicate | hasPrologueSetting |
P128606
|
FINISHED |
| Object | house of the richest man in Vienna |
—
|
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: house of the richest man in Vienna | Statement: [Ariadne auf Naxos (libretto), hasPrologueSetting, house of the richest man in Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrologueSetting Context triple: [Ariadne auf Naxos (libretto), hasPrologueSetting, house of the richest man in Vienna]
-
A.
hasPrologueSometimes
Indicates that an entity occasionally or in some instances includes a prologue.
-
B.
hasPrologueInTitle
Indicates that a work’s title explicitly includes the word “Prologue” or a prologue-related phrase.
-
C.
hasPrologueTheme
Indicates that a work’s prologue centers on, introduces, or is characterized by a particular thematic content or motif.
-
D.
hasPrologueSeries
Indicates that one work serves as a prologue or introductory installment to another work in a series.
-
E.
includesSpokenPrologue
Indicates that an entity (such as a work or performance) contains a spoken introductory section delivered before the main content begins.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e471559744819080b99081c90ab614 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:04 a.m.