Triple
T18539048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatstandwell |
E453039
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | Matlock |
—
|
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: Matlock | Statement: [Whatstandwell, postTown, Matlock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matlock Context triple: [Whatstandwell, postTown, Matlock]
-
A.
Matlock
chosen
Matlock is a historic spa and market town in Derbyshire, England, known for its picturesque setting in the Derwent Valley and its role as the county’s administrative centre.
-
B.
Matlock
Matlock is an American legal drama television series starring Andy Griffith as a shrewd, folksy defense attorney known for his courtroom showdowns and investigative skills.
-
C.
Matlock Police
Matlock Police is an Australian television crime drama series centered on the cases and lives of police officers in the fictional rural town of Matlock.
-
D.
Kojak
Kojak is a 1970s American television crime drama series centered on the tough, lollipop-licking New York City detective Theo Kojak, played by Telly Savalas.
-
E.
Van der Valk
Van der Valk is a British television crime drama series centered on a Dutch detective solving cases in Amsterdam.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b5863881908915a6762718d3f7 |
completed | April 19, 2026, 8:01 p.m. |
Created at: April 10, 2026, 11:37 a.m.