Triple
T25020158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brangwen family |
E626548
|
entity |
| Predicate | setAgainstBackgroundOf |
P123206
|
FINISHED |
| Object | shifts in social and moral values |
—
|
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: shifts in social and moral values | Statement: [Brangwen family, setAgainstBackgroundOf, shifts in social and moral values]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setAgainstBackgroundOf Context triple: [Brangwen family, setAgainstBackgroundOf, shifts in social and moral values]
-
A.
providesContrastWith
chosen
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
B.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
C.
hasBackgroundPattern
Indicates that an entity possesses a recurring or structured visual pattern in its background area.
-
D.
hasBackgroundColor
Indicates that an entity possesses or is associated with a specific background color.
-
E.
controlsBackgroundColor
Indicates that one entity determines or modifies the background color property of another entity or visual element.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:06 a.m.