Triple
T23866959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hunt |
E592607
|
entity |
| Predicate | countrySubmissionForOscar |
P76394
|
FINISHED |
| Object | Denmark |
—
|
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: Denmark | Statement: [The Hunt, countrySubmissionForOscar, Denmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countrySubmissionForOscar Context triple: [The Hunt, countrySubmissionForOscar, Denmark]
-
A.
bestPictureWinnerCountry
Indicates the country associated with the film that won the Best Picture award in a given year or context.
-
B.
nationalFilmAward
Indicates that an entity has received or is associated with a National Film Award, representing official recognition in a national-level film awards system.
-
C.
representedCountryAtOscars
chosen
Indicates that an entity served as the official representative of a particular country at the Academy Awards (Oscars) in a given year or category.
-
D.
nominatedIn
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
E.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae47b40819080d1c5294ee59066 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:13 p.m.