Triple
T4235248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Sound Effects Editing |
E94676
|
entity |
| Predicate | genreOfWorkRecognized |
P38820
|
FINISHED |
| Object | narrative feature 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: narrative feature film | Statement: [Academy Award for Best Sound Effects Editing, genreOfWorkRecognized, narrative feature film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkRecognized Context triple: [Academy Award for Best Sound Effects Editing, genreOfWorkRecognized, narrative feature film]
-
A.
genreOfWorkHonored
chosen
Indicates the specific genre or type of creative work for which an honor, award, or recognition is given.
-
B.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
C.
recognizesWorkOf
Indicates that one entity acknowledges, identifies, or gives credit to the work or contributions produced by another entity.
-
D.
formatOfWorks
Indicates the specific medium, layout, or structural form in which works are created, presented, or published.
-
E.
settingOfWorks
Indicates that a place or environment serves as the primary setting where the events or narratives of one or more works take place.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e72ff588190a50c04ab975612dd |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.