Triple
T17573100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Boldsworth |
E427987
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | The ParaPod |
—
|
NE NERFINISHED |
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: The ParaPod | Statement: [Ian Boldsworth, knownFor, The ParaPod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The ParaPod Context triple: [Ian Boldsworth, knownFor, The ParaPod]
-
A.
The ParaPod
chosen
The ParaPod is a British comedy podcast and film series in which comedians debate and investigate paranormal phenomena with a skeptical, humorous tone.
-
B.
The ParaPod Movie
The ParaPod Movie is a British comedy-documentary film spun off from the popular paranormal podcast "The ParaPod," following hosts Ian Boldsworth and Barry Dodds as they investigate ghost stories and supernatural claims on a road trip across the UK.
-
C.
SkyPod
SkyPod is the highest observation deck of Toronto’s CN Tower, offering panoramic views from near the top of the landmark skyscraper.
-
D.
P-POD
P-POD is a standardized deployment system designed to safely house and launch CubeSat miniature satellites into space from a host vehicle.
-
E.
DOROTHY sensor pods
DOROTHY sensor pods are experimental meteorological instruments designed to be deployed in the path of tornadoes to collect detailed atmospheric data for research and forecasting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e459330c788190907a02fc98e0e24b |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.