Triple
T37141501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Short Stay in Switzerland |
E920123
|
entity |
| Predicate | yearOfTelevisionFilmDebut |
P50486
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [A Short Stay in Switzerland, yearOfTelevisionFilmDebut, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfTelevisionFilmDebut Context triple: [A Short Stay in Switzerland, yearOfTelevisionFilmDebut, 2009]
-
A.
televisionDebutWith
Indicates the relationship in which an entity makes its first appearance on television in association with a particular work, program, or context.
-
B.
televisionPremiereYear
chosen
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
C.
televisionDebutNetwork
Indicates the television network on which an entity (such as a show or person) first appeared or made its debut.
-
D.
televisionDebutInDecade
Indicates that an entity made its first appearance on television during 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: May 3, 2026, 4:15 p.m.