Triple
T11981826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Merry Wives of Windsor (Nicolai) |
E285178
|
entity |
| Predicate | hasArias |
P63471
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Merry Wives of Windsor (Nicolai), hasArias, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArias Context triple: [The Merry Wives of Windsor (Nicolai), hasArias, yes]
-
A.
hasAria
chosen
Indicates that one entity possesses, contains, or is associated with an aria (a specific vocal piece or melodic section).
-
B.
hasARIAcertification
Indicates that an entity possesses an ARIA (Accessible Rich Internet Applications) certification attesting to compliance with relevant accessibility standards.
-
C.
hasAI
Indicates that one entity possesses, incorporates, or is equipped with an artificial intelligence system.
-
D.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
E.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.