Triple
T10528470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | III. Élégie |
E248368
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Élégie |
E248368
|
NE 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: Élégie | Statement: [III. Élégie, title, Élégie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Élégie Context triple: [III. Élégie, title, Élégie]
-
A.
Élégies
Élégies is a collection of lyrical poems by French Renaissance poet Clément Marot, known for its refined expression of personal emotion and courtly themes.
-
B.
III. Élégie
chosen
III. Élégie is the third, slow and mournful movement of Tchaikovsky’s Serenade for Strings in C major, Op. 48, known for its lyrical, elegiac character.
-
C.
Oraisons funèbres
Oraisons funèbres is a celebrated collection of 17th-century French funeral orations renowned for their eloquence, moral gravity, and classical rhetorical style.
-
D.
Fonction du poète
Fonction du poète is a celebrated poem by Victor Hugo that reflects on the role and responsibility of the poet in society.
-
E.
Le Sang d’un poète
Le Sang d’un poète is a 1930 avant-garde surrealist film that explores the inner world of an artist through dreamlike, symbolic imagery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f6f4a88190ae6e0cc0bcbff0c5 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e31350c8190a7493cdc33cc450a |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:30 p.m.