Triple
T19572164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Globe Special Ensemble Cast Award for Short Cuts |
E489744
|
entity |
| Predicate | genreOfHonouredWork |
P38820
|
FINISHED |
| Object | drama 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: drama film | Statement: [Golden Globe Special Ensemble Cast Award for Short Cuts, genreOfHonouredWork, drama film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfHonouredWork Context triple: [Golden Globe Special Ensemble Cast Award for Short Cuts, genreOfHonouredWork, drama film]
-
A.
genreOfWorkHonored
chosen
Indicates the specific genre or type of creative work for which an honor, award, or recognition is given.
-
B.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
C.
genreOfPersonHonored
Indicates the artistic or professional genre associated with the person who is being honored.
-
D.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
-
E.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402103208190b80acdfa82b7a9c4 |
completed | April 20, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.