Triple
T38484613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andula |
E917879
|
entity |
| Predicate | filmAwardRecognition |
P93687
|
FINISHED |
| Object | Academy Award nomination for Best Foreign Language Film (for the film) |
—
|
LITERAL 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: Academy Award nomination for Best Foreign Language Film (for the film) | Statement: [Andula, filmAwardRecognition, Academy Award nomination for Best Foreign Language Film (for the film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmAwardRecognition Context triple: [Andula, filmAwardRecognition, Academy Award nomination for Best Foreign Language Film (for the film)]
-
A.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
-
B.
filmWonAcademyAwardFor
Indicates that a film received an Academy Award (Oscar) in a specified category or for a particular achievement.
-
C.
associatedAwardWinningFilm
chosen
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
-
D.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
E.
nationalFilmAwardsWon
Indicates that an entity has received one or more National Film Awards, specifying a winning achievement in that award system.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.