Triple
T20554696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Mère coupable |
E504685
|
entity |
| Predicate | contrastNote |
P131861
|
FINISHED |
| Object | darker in tone than the earlier Figaro plays |
—
|
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: darker in tone than the earlier Figaro plays | Statement: [La Mère coupable, contrastNote, darker in tone than the earlier Figaro plays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrastNote Context triple: [La Mère coupable, contrastNote, darker in tone than the earlier Figaro plays]
-
A.
contrastUse
Indicates that one entity is used in opposition or distinction to another to highlight differences between them.
-
B.
contrastCharacteristic
chosen
Indicates that two entities are being compared by highlighting opposing or significantly different characteristics between them.
-
C.
contrastGoal
Indicates a relationship where one goal is defined in opposition to, or as a contrasting alternative to, another goal.
-
D.
contrastMechanism
Indicates a relationship where one mechanism is highlighted or explained by comparing it against a different, opposing, or alternative mechanism.
-
E.
oftenContrastedWith
Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5dbe96c8190a278dfefdb4a5c43 |
completed | April 20, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.