Triple
T20699933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z-Cars |
E508751
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Frank Windsor |
—
|
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: Frank Windsor | Statement: [Z-Cars, stars, Frank Windsor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Windsor Context triple: [Z-Cars, stars, Frank Windsor]
-
A.
Frank Windsor
chosen
Frank Windsor was a British character actor best known for his television work, particularly in police dramas such as "Z-Cars" and its spin-offs.
-
B.
Albert Windsor
Albert Windsor is a young member of the extended British royal family and the son of Lord Nicholas Windsor.
-
C.
Gerald de Windsor
Gerald de Windsor was an Anglo-Norman nobleman and royal official in Wales whose descendants, the Geraldines, became a powerful dynastic family in Ireland and Britain.
-
D.
William of Windsor
William of Windsor was a short-lived English prince of the 14th century, the youngest son of King Edward III and Philippa of Hainault.
-
E.
Thomas of Windsor
Thomas of Windsor was an English royal of the 14th century, a younger son of King Edward III and Queen Philippa of Hainault.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18a77308190b7c2517d82a145cd |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:12 p.m.