Triple
T1115429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best International Feature Film |
E11088
|
entity |
| Predicate | dialogueCriterion |
P216
|
FINISHED |
| Object | primarily non-English |
—
|
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 | Statement: [Best International Feature Film, dialogueCriterion, primarily non-English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueCriterion Context triple: [Best International Feature Film, dialogueCriterion, primarily non-English]
-
A.
dialogueWith
Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
-
B.
dialogRequirement
Indicates that a certain condition, piece of information, or interaction must occur within a dialog or conversation for a related action, state, or process to proceed or be considered valid.
-
C.
notableCriterion
Indicates that something is distinguished or recognized based on a particular standard, measure, or qualifying condition.
-
D.
awardCriteria
chosen
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
-
E.
hasProseDialogue
Indicates that one entity contains or features spoken or conversational content expressed in prose form involving another 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.