Triple
T23791816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That's Livin' Alright |
E588111
|
entity |
| Predicate | televisionSeriesSettingOfThemeSeries |
P92561
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [That's Livin' Alright, televisionSeriesSettingOfThemeSeries, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionSeriesSettingOfThemeSeries Context triple: [That's Livin' Alright, televisionSeriesSettingOfThemeSeries, United Kingdom]
-
A.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
-
B.
inSeriesTheme
Indicates that one entity serves as the thematic subject or focus within a particular series.
-
C.
televisionSeriesOrigin
chosen
Indicates the country, region, or place where a television series was originally produced or created.
-
D.
basedInSeriesSetting
Indicates that something (such as a work, event, or element) is situated within or occurs in the primary setting established by a particular series.
-
E.
cityOfSeries
Indicates the city in which a series is primarily set, based, or associated.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c6d8215c8190af4f2dd7478e2c04 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.