Triple
T22235126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sons and Daughters |
E549572
|
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: [Sons and Daughters, creator, Reg Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reg Watson Context triple: [Sons and Daughters, 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.
Alan Watson
Alan Watson is a game designer best known for his work on the influential 1983 multiplayer economic strategy game M.U.L.E.
-
D.
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.
-
E.
Jonathan Watson
Jonathan Watson is a film director best known for helming the 2018 dark comedy crime film "Arizona."
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.