Triple
T34011704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Smallbone |
E872129
|
entity |
| Predicate | televisionSeriesDebutDecade |
P80217
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [Adam Smallbone, televisionSeriesDebutDecade, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionSeriesDebutDecade Context triple: [Adam Smallbone, televisionSeriesDebutDecade, 2010s]
-
A.
televisionDebutInDecade
chosen
Indicates that an entity made its first appearance on television during a specified decade.
-
B.
originallyAiredInDecade
Indicates that the original broadcast or first airing of something (such as a show or episode) occurred during a specified decade.
-
C.
televisionAdaptationDecade
Indicates the decade during which a work was adapted into a television production.
-
D.
isFromTelevisionSeriesDecade
Indicates that something originates from or is associated with a television series produced or first aired in a specified decade.
-
E.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:51 a.m.