Triple
T17693157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Kennedy |
E441085
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Reg Watson |
—
|
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: Reg Watson | Statement: [Karl Kennedy, creator, Reg Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reg Watson Context triple: [Karl Kennedy, creator, Reg Watson]
-
A.
Reg Watson
chosen
Reg Watson was an Australian television producer best known for creating the long-running soap opera "Neighbours."
-
B.
Tim Watson
Tim Watson is a former Australian rules footballer and three-time premiership player widely regarded as one of Essendon Football Club’s greatest midfielders.
-
C.
Charlie Watson
Charlie Watson is the teenage protagonist in the 2018 Transformers film "Bumblebee," who befriends and protects the titular Autobot while coping with her own personal struggles.
-
D.
Jonathan Watson
Jonathan Watson is a film director best known for helming the 2018 dark comedy crime film "Arizona."
-
E.
Jamie Watson
Jamie Watson is a music producer best known for his work on the early Snow Patrol album "Songs for Polarbears."
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47153a5c8819095c36fd414167fb1 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:03 a.m.