Triple
T8499315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boat Is Full |
E201174
|
entity |
| Predicate | academyAwardsSubmissionFor |
P25539
|
FINISHED |
| Object | Best Foreign Language 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: Best Foreign Language Film | Statement: [The Boat Is Full, academyAwardsSubmissionFor, Best Foreign Language Film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardsSubmissionFor Context triple: [The Boat Is Full, academyAwardsSubmissionFor, Best Foreign Language Film]
-
A.
nominatedIn
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
B.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
C.
emmyAwardFor
Indicates that an entity has received or is associated with a specific Emmy Award for a particular work or achievement.
-
D.
academyAwardsEdition
Indicates the specific edition or installment of the Academy Awards associated with an entity.
-
E.
nominatedWork
chosen
Indicates that a particular work (such as a book, film, or artwork) has been put forward as a candidate for an award, honor, or recognition.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5984d7481908c41c57bef9cf254 |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:14 p.m.