Triple
T20582221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Reith |
E505685
|
entity |
| Predicate | mottoOfBroadcasting |
P140650
|
FINISHED |
| Object | inform, educate and entertain |
—
|
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: inform, educate and entertain | Statement: [Lord Reith, mottoOfBroadcasting, inform, educate and entertain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoOfBroadcasting Context triple: [Lord Reith, mottoOfBroadcasting, inform, educate and entertain]
-
A.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
B.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
C.
mottoPromoted
Indicates that a particular motto is actively advocated, endorsed, or publicized by an entity.
-
D.
mottoPresent
Indicates that an entity currently has an official motto associated with it.
-
E.
mottoPractice
Indicates that an entity engages in or follows a particular motto as a guiding practice or principle.
- F. None of above. chosen
Provenance (4 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90f7e34819086b1745dcd53ba25 |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:40 a.m.