Triple
T33465778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (as co-director of Slumdog Millionaire, film’s win) |
E857038
|
entity |
| Predicate | recognizedFilmCountryOfOrigin |
P41843
|
FINISHED |
| Object | United Kingdom |
—
|
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 Kingdom | Statement: [Academy Award for Best Picture (as co-director of Slumdog Millionaire, film’s win), recognizedFilmCountryOfOrigin, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedFilmCountryOfOrigin Context triple: [Academy Award for Best Picture (as co-director of Slumdog Millionaire, film’s win), recognizedFilmCountryOfOrigin, United Kingdom]
-
A.
filmCountryOfOrigin
chosen
Indicates the country where a film was originally produced or created.
-
B.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
C.
productionCountries
Indicates the countries where a work (such as a film or TV show) was produced or financed.
-
D.
filmStudioCountry
Indicates the country in which a film studio is based or primarily operates.
-
E.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:37 a.m.