Triple
T26392237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Victoire en chantant |
E663443
|
entity |
| Predicate | countryOfSubmissionForOscar |
P76394
|
FINISHED |
| Object | Ivory Coast |
—
|
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: Ivory Coast | Statement: [La Victoire en chantant, countryOfSubmissionForOscar, Ivory Coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSubmissionForOscar Context triple: [La Victoire en chantant, countryOfSubmissionForOscar, Ivory Coast]
-
A.
countryOfSubmission
Indicates the country in which something (such as a document, application, or work) is formally submitted.
-
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.
countryOfAwarding
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
D.
bestPictureWinnerCountry
Indicates the country associated with the film that won the Best Picture award in a given year or context.
-
E.
nominatedPersonNationality
Indicates that the specified nationality is the country or national identity of the person who has been nominated.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 26, 2026, 11:26 p.m.