Triple
T16673858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shoop Shoop Song (It’s in His Kiss) |
E405168
|
entity |
| Predicate | filmFeatureYear |
P18082
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [The Shoop Shoop Song (It’s in His Kiss), filmFeatureYear, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmFeatureYear Context triple: [The Shoop Shoop Song (It’s in His Kiss), filmFeatureYear, 1990]
-
A.
filmUseYear
Indicates that a film is associated with or utilizes a particular year, such as its setting, production year, or a key temporal reference in the narrative.
-
B.
filmReleaseYear
Indicates the calendar year in which a film was first officially released to the public.
-
C.
filmFestivalPremiereYear
Indicates the year in which a film first premiered at a film festival.
-
D.
yearOfFilmAppearance
chosen
Indicates the specific year in which a film appearance by an entity took place.
-
E.
filmRegistrySelectionYear
Indicates the year in which a film was selected for inclusion in a specific film registry.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6904008190a79ab30b6d9ccae9 |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.