Triple
T22251369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mademoiselle de Maupin |
E549985
|
entity |
| Predicate | prefaceNotableFor |
P34707
|
FINISHED |
| Object | defense of art for art’s sake |
—
|
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: defense of art for art’s sake | Statement: [Mademoiselle de Maupin, prefaceNotableFor, defense of art for art’s sake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefaceNotableFor Context triple: [Mademoiselle de Maupin, prefaceNotableFor, defense of art for art’s sake]
-
A.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
B.
subjectNotableFor
chosen
Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
-
C.
notableDisplay
Indicates that something is prominently or distinctively presented in a way that draws special attention or recognition.
-
D.
notablePrimary
Indicates that one entity is the main or most prominent example, instance, or representative of another entity.
-
E.
notableDuring
Indicates that something was especially prominent, active, or significant during a particular time period or event.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138befa208190877760dec1896740 |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.