Triple
T13434942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Science Fiction, Fantasy and Horror Films |
E320204
|
entity |
| Predicate | genreOfAward |
P56334
|
FINISHED |
| Object | science fiction 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: science fiction film | Statement: [Academy of Science Fiction, Fantasy and Horror Films, genreOfAward, science fiction film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfAward Context triple: [Academy of Science Fiction, Fantasy and Horror Films, genreOfAward, science fiction film]
-
A.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
-
B.
awardGenreFocus
chosen
Indicates that an award specifically recognizes or emphasizes works within a particular genre.
-
C.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
D.
genreOfPersonHonored
Indicates the artistic or professional genre associated with the person who is being honored.
-
E.
notableAwardCategory
Indicates that an award is recognized as a significant or distinguished category within a broader system of awards.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.