Triple
T1801607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last of the Summer Wine |
E39731
|
entity |
| Predicate | originalRunDuration |
P18978
|
FINISHED |
| Object | about 37 years |
—
|
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: about 37 years | Statement: [Last of the Summer Wine, originalRunDuration, about 37 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalRunDuration Context triple: [Last of the Summer Wine, originalRunDuration, about 37 years]
-
A.
originalBroadwayRunLength
Indicates the duration of time that a production’s initial run on Broadway lasted.
-
B.
originalRunEra
Indicates the time period or era during which something (such as a show, series, or product) was first originally run or released.
-
C.
durationInitial
chosen
Indicates the initial length of time associated with an event, state, or process at its starting point.
-
D.
showDuration
Indicates the length of time for which something is shown, displayed, or performed.
-
E.
runtimeMinutes
Indicates the total duration of something, typically a media work or process, measured in minutes.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d514c081908197ac1f7c7d7a88 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.