Triple
T16591706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strictly Come Dancing |
E403103
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Karen Smith |
—
|
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: Karen Smith | Statement: [Strictly Come Dancing, producer, Karen Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Smith Context triple: [Strictly Come Dancing, producer, Karen Smith]
-
A.
Karen Smith
chosen
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
-
B.
Karen Smith
Karen Smith is a naive and dim-witted but sweet member of the high school clique "The Plastics" in the teen comedy film Mean Girls.
-
C.
Rachel Smith
Rachel Smith is the wife of British politician and former Liberal Democrat leader Vince Cable.
-
D.
Julianne Smith
Julianne Smith is an American diplomat and foreign policy expert who serves as the United States Ambassador to the North Atlantic Treaty Organization (NATO).
-
E.
Lia Smith
Lia Smith is an American fitness trainer and Pilates instructor best known for being married to actor Justin Bartha.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359a123e8819095cd73cd848a3345 |
completed | April 18, 2026, 10:14 a.m. |
Created at: April 10, 2026, 5:16 a.m.