Triple
T15034356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC News at One studio |
E378440
|
entity |
| Predicate | hasTeleprompter |
P31727
|
FINISHED |
| Object | presenter autocue system |
—
|
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: presenter autocue system | Statement: [BBC News at One studio, hasTeleprompter, presenter autocue system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeleprompter Context triple: [BBC News at One studio, hasTeleprompter, presenter autocue system]
-
A.
isTelevised
Indicates that an event, program, or activity is broadcast on television for public viewing.
-
B.
hasBroadcaster
Indicates that an entity is associated with or transmitted by a particular broadcaster or broadcasting organization.
-
C.
hasPresentation
Indicates that an entity delivers, contains, or is associated with a specific presentation (such as a talk, slide deck, or formal display of information).
-
D.
hasFrontPerson
Indicates that an entity is represented, led, or fronted publicly by a specific person.
-
E.
hasBroadcastFeature
chosen
Indicates that an entity includes or supports a broadcast-related capability or functionality.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.