Triple
T37880895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midaregami |
E944861
|
entity |
| Predicate | containsPoeticPersona |
P203719
|
FINISHED |
| Object | passionate young woman |
—
|
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: passionate young woman | Statement: [Midaregami, containsPoeticPersona, passionate young woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPoeticPersona Context triple: [Midaregami, containsPoeticPersona, passionate young woman]
-
A.
hasPoeticSpeaker
Indicates that one entity functions as the poetic speaker or voice expressing the content of another entity (such as a poem or lyrical work).
-
B.
hasPoetCharacter
Indicates that an entity includes or features a character whose role or identity is that of a poet.
-
C.
hasPoeticVoice
Indicates that one entity possesses or exhibits the distinctive poetic style, tone, or expressive voice associated with another entity.
-
D.
hasPoeticLyrics
Indicates that something (such as a song, text, or speech) contains lyrics or wording that are artistic, expressive, or characteristic of poetry.
-
E.
containsPoemsBy
Indicates that one entity (such as a collection or publication) includes poems authored by another 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01d077dcec8190b05b24b5de313b15 |
completed | May 11, 2026, 12:50 p.m. |
| PD | Predicate disambiguation | batch_6a01cea0e37881909cb6888518c6d12f |
completed | May 11, 2026, 12:42 p.m. |
| PDg | Predicate description generation | batch_6a01d0771fb88190809ac7ba18fb6565 |
completed | May 11, 2026, 12:49 p.m. |
Created at: May 3, 2026, 4:19 p.m.