Triple
T20233161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC London breakfast show |
E495581
|
entity |
| Predicate | gainedRecognitionDuring |
P109753
|
FINISHED |
| Object | Danny Baker’s tenure as host |
—
|
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: Danny Baker’s tenure as host | Statement: [BBC London breakfast show, gainedRecognitionDuring, Danny Baker’s tenure as host]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedRecognitionDuring Context triple: [BBC London breakfast show, gainedRecognitionDuring, Danny Baker’s tenure as host]
-
A.
gainedRecognition
Indicates that an entity received acknowledgment, acclaim, or validation from others for its qualities, actions, or achievements.
-
B.
gainedProminenceFor
Indicates that an entity became widely recognized or notable specifically because of another entity, action, or achievement.
-
C.
gainedProminenceAs
Indicates that an entity became widely recognized or notable in the role, capacity, or identity specified by another entity.
-
D.
wasRecognizedIn
chosen
Indicates that an entity received acknowledgment, credit, or an award within a specified context, event, or time frame.
-
E.
hasNotableRecognitionFor
Indicates that an entity has received notable recognition, such as awards, honors, or distinctions, specifically for another entity or achievement.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67166d4d081908c4b8eeb66e7e090 |
completed | April 20, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:40 p.m.