Triple
T37107888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les moulins de mon cœur |
E918899
|
entity |
| Predicate | isPoeticDescriptionOf |
P182632
|
FINISHED |
| Object | cyclical thoughts |
—
|
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: cyclical thoughts | Statement: [Les moulins de mon cœur, isPoeticDescriptionOf, cyclical thoughts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPoeticDescriptionOf Context triple: [Les moulins de mon cœur, isPoeticDescriptionOf, cyclical thoughts]
-
A.
poeticDepiction
chosen
Indicates that one entity artistically represents or describes another using poetic or figurative language.
-
B.
isPoeticNameFor
Indicates that one entity serves as a poetic or figurative name or designation for another entity.
-
C.
poeticParaphrasedIn
Indicates that one expression is rendered as a poetic or stylistically embellished paraphrase of another expression.
-
D.
isDescriptive
Indicates that one entity provides a description or characterization of another entity.
-
E.
hasPoeticLyrics
Indicates that something (such as a song, text, or speech) contains lyrics or wording that are artistic, expressive, or characteristic of poetry.
- 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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.