Triple
T34249982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Foreign Language Film (for Amarcord film) |
E878711
|
entity |
| Predicate | awardLanguageCriterion |
P63553
|
FINISHED |
| Object | primarily non-English dialogue |
—
|
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: primarily non-English dialogue | Statement: [Academy Award for Best Foreign Language Film (for Amarcord film), awardLanguageCriterion, primarily non-English dialogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardLanguageCriterion Context triple: [Academy Award for Best Foreign Language Film (for Amarcord film), awardLanguageCriterion, primarily non-English dialogue]
-
A.
awardCriteria
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
-
B.
awardLanguage
chosen
Indicates that an award is given specifically for works or achievements in a particular language.
-
C.
awardEvaluated
Indicates that an award has been formally assessed or judged, typically to determine its validity, merit, or outcome.
-
D.
qualificationAwardedBy
Indicates that a particular qualification was granted or conferred by a specific awarding body or institution.
-
E.
awardDeterminedBy
Indicates that the granting or outcome of an award is decided based on a specified factor, process, or decision-making entity.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 1, 2026, 1:56 a.m.