Triple
T19092982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Parkinson |
E467334
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Art Parkinson |
—
|
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: Art Parkinson | Statement: [Art Parkinson, name, Art Parkinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Parkinson Context triple: [Art Parkinson, name, Art Parkinson]
-
A.
Art Parkinson
chosen
Art Parkinson is an Irish actor best known for his role as Rickon Stark in the television series "Game of Thrones."
-
B.
Joe Parkinson
Joe Parkinson is an American businessman best known as a co-founder and early leader of the semiconductor company Micron Technology.
-
C.
Mark Parkinson
Mark Parkinson is an American politician who served as the 45th Governor of Kansas from 2009 to 2011.
-
D.
Martin Atkins
Martin Atkins is an English drummer and producer best known for his work in post-punk and industrial music with bands such as Public Image Ltd, Ministry, and Pigface.
-
E.
Ward Parkinson
Ward Parkinson is an American engineer and entrepreneur best known as a co-founder of the semiconductor company Micron Technology.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34cf5e481908e1f180dacd5602f |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.