Triple
T32530280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actress for L.A. Confidential |
E831432
|
entity |
| Predicate | filmedInCountryOfWorkAwarded |
P21831
|
FINISHED |
| Object | United States |
—
|
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 States | Statement: [Academy Award for Best Supporting Actress for L.A. Confidential, filmedInCountryOfWorkAwarded, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmedInCountryOfWorkAwarded Context triple: [Academy Award for Best Supporting Actress for L.A. Confidential, filmedInCountryOfWorkAwarded, United States]
-
A.
bestPictureWinnerCountry
Indicates the country associated with the film that won the Best Picture award in a given year or context.
-
B.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
C.
representedCountryAtOscars
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.
filmingCountry
Indicates the country where the filming or primary production of a work took place.
-
E.
countryOfFilming
chosen
Indicates the country where the filming or production of a work physically took place.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c51ba4248190b98f43a5866bab0d |
completed | May 3, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:01 a.m.