Triple
T38683870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instinct (2019 film) |
E949061
|
entity |
| Predicate | academyAwardsSubmissionBy |
P191658
|
FINISHED |
| Object | Netherlands |
—
|
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: Netherlands | Statement: [Instinct (2019 film), academyAwardsSubmissionBy, Netherlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardsSubmissionBy Context triple: [Instinct (2019 film), academyAwardsSubmissionBy, Netherlands]
-
A.
academyAwardsSubmissionYear
Indicates the year in which a work was officially submitted for consideration to the Academy Awards.
-
B.
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.
-
C.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
D.
academyAwardsContext
Indicates the relationship between an entity and its context or details specifically related to the Academy Awards (e.g., nominations, wins, categories, or years).
-
E.
awardNominationForProducedWork
Indicates that an entity has received a nomination for an award specifically in recognition of a work it produced.
- F. None of above. chosen
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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce54532948190a5cfacfe18e09322 |
completed | May 7, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:33 p.m.