Triple
T16580436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Valley |
E402812
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Karen Lewis |
—
|
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 Lewis | Statement: [Happy Valley, producer, Karen Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Lewis Context triple: [Happy Valley, producer, Karen Lewis]
-
A.
Karen Lewis
Karen Lewis is a British television producer best known for her work on acclaimed drama series such as "Last Tango in Halifax."
-
B.
Karen Lewis
Karen Lewis is a television producer known for her work on the British drama series "Years and Years."
-
C.
Karen Lewis
chosen
Karen Lewis is a film and television producer known for her work on the project "Exile."
-
D.
Dianne Lewis
Dianne Lewis is known as the spouse of the late American character actor Philip Baker Hall.
-
E.
Cathy Lewis
Cathy Lewis was an American radio and television actress best known for her work on classic radio comedies such as "My Friend Irma."
- 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_69e35960834c819080eed0c9f32b881d |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 10, 2026, 5:16 a.m.