Triple
T1678233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Vicar of Dibley |
E36280
|
entity |
| Predicate | numberOfSpecials |
P16447
|
FINISHED |
| Object | various Christmas and New Year specials |
—
|
LITERAL 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: various Christmas and New Year specials | Statement: [The Vicar of Dibley, numberOfSpecials, various Christmas and New Year specials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSpecials Context triple: [The Vicar of Dibley, numberOfSpecials, various Christmas and New Year specials]
-
A.
numberOfSpecialWards
Indicates the count of wards that are designated as special within a given context or entity.
-
B.
hasSpecialRules
Indicates that certain entities are governed by additional or exceptional rules that differ from the standard ones.
-
C.
includesSpecialEpisodes
chosen
Indicates that the subject collection or series contains one or more special, non-regular episodes.
-
D.
specialEdition
Indicates that an item is a distinct, limited, or enhanced version of a standard release, often with unique features, packaging, or content.
-
E.
hasSpecialUnit
Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
- F. None of above.
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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.