Triple
T35491488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Owl and the Pussycat |
E1025742
|
entity |
| Predicate | originalPoemGenre |
P83253
|
FINISHED |
| Object | nonsense verse |
—
|
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: nonsense verse | Statement: [The Owl and the Pussycat, originalPoemGenre, nonsense verse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPoemGenre Context triple: [The Owl and the Pussycat, originalPoemGenre, nonsense verse]
-
A.
poeticCategory
Indicates that one entity is classified as belonging to a particular poetic category or type of poetry in relation to another entity.
-
B.
poeticStyle
Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
-
C.
languageOfPoetry
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
D.
originalSongPoet
Indicates that a person is the poet who originally wrote the lyrics or text for a given song.
-
E.
hasPoemType
chosen
Indicates that an entity (such as a poem or literary work) is associated with or classified by a specific type or category of poem.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.