Triple
T864401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cause Célèbre |
E18668
|
entity |
| Predicate | isPartlyAbout |
P380
|
FINISHED |
| Object | public morality in interwar Britain |
—
|
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: public morality in interwar Britain | Statement: [Cause Célèbre, isPartlyAbout, public morality in interwar Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartlyAbout Context triple: [Cause Célèbre, isPartlyAbout, public morality in interwar Britain]
-
A.
isAbout
chosen
Indicates that one entity has as its subject, focus, or primary concern the content, topic, or theme represented by another entity.
-
B.
partlyDefinedBy
Indicates that one entity’s nature, role, or characteristics are only partially determined or specified by another entity.
-
C.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
-
D.
partlyCoveredBy
Indicates that one entity is covered or overlapped by another entity, but only to a partial extent rather than completely.
-
E.
partlyProtectedBy
Indicates that an entity is only partially safeguarded or covered by a specified protective measure, not fully protected.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac6956488190a5644cdd5b55684f |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa86065881909d477e26fdd84d45 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.