Triple
T6190343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Film Institute Award for Best Editing |
E138171
|
entity |
| Predicate | levelOfPrestige |
P337
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Australian Film Institute Award for Best Editing, levelOfPrestige, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfPrestige Context triple: [Australian Film Institute Award for Best Editing, levelOfPrestige, national]
-
A.
socialClassAspiration
Indicates a desire or intention by one entity to attain a higher or different social class or status than its current one.
-
B.
isHighRanking
Indicates that an entity holds a position of relatively great authority, status, or seniority within a hierarchy or organization.
-
C.
honorLevel
chosen
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
D.
sponsorLevel
Indicates the degree or tier of sponsorship that one entity provides to another.
-
E.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0621abad48190acb9ec019c065ed4 |
completed | March 22, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.