Triple
T33499629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Lion – Nomadland |
E857952
|
entity |
| Predicate | filmProductionCountries |
P129303
|
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: [Golden Lion – Nomadland, filmProductionCountries, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmProductionCountries Context triple: [Golden Lion – Nomadland, filmProductionCountries, United States]
-
A.
productionCountries
chosen
Indicates the countries where a work (such as a film or TV show) was produced or financed.
-
B.
filmStudioCountry
Indicates the country in which a film studio is based or primarily operates.
-
C.
filmCountryOfOrigin
Indicates the country where a film was originally produced or created.
-
D.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
E.
filmingCountry
Indicates the country where the filming or primary production of a work 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:38 a.m.