Triple
T36264880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Una mujer fantástica |
E892193
|
entity |
| Predicate | countryForOscarSubmission |
P76394
|
FINISHED |
| Object | Chile |
E203
|
NE 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: Chile | Statement: [Una mujer fantástica, countryForOscarSubmission, Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryForOscarSubmission Context triple: [Una mujer fantástica, countryForOscarSubmission, Chile]
-
A.
nominatedFilmCountryOfOrigin
Indicates that a nominated film originates from, or is primarily associated with, a particular country.
-
B.
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.
-
C.
oscarSubmissionStatus
Indicates the status of an entity’s submission in relation to the Oscars, such as whether it has been submitted, accepted, rejected, or is pending.
-
D.
nominatedPersonNationality
Indicates that the specified nationality is the country or national identity of the person who has been nominated.
-
E.
bestPictureWinnerCountry
Indicates the country associated with the film that won the Best Picture award in a given year or context.
- F. None of above.
Provenance (4 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a02fc3890a881908b69b0f2d7cc1ce1 |
completed | May 12, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a397d764434819086e38b46284754d3 |
completed | June 22, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_6a02fb98438c8190938896c00216b9ec |
completed | May 12, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:09 p.m.