Triple
T12531366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Salisbury Poisonings |
E299570
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Karen Lewis |
E507593
|
NE FINISHED |
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 Lewis | Statement: [The Salisbury Poisonings, producer, Karen Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Lewis Context triple: [The Salisbury Poisonings, producer, Karen Lewis]
-
A.
Karen Lewis
chosen
Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
-
B.
Susie Lewis
Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
-
C.
Diana Lewis
Diana Lewis was an American film actress best known for her work in the late 1930s and 1940s and for being married to actor William Powell.
-
D.
Vicki Lewis
Vicki Lewis is an American actress and singer best known for her comedic television roles and voice work in animated films.
-
E.
Susan Lewis
Susan Lewis is a fictional emergency physician and central character on the television series "ER," known for her dedication, compassion, and complex personal storylines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f082b6481909950c8c4cb854440 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 8, 2026, 9:57 p.m.