Triple
T21897928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Awards for The Silence of the Lambs |
E540727
|
entity |
| Predicate | genreOfHonoredFilm |
P96255
|
FINISHED |
| Object | psychological horror |
—
|
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: psychological horror | Statement: [Academy Awards for The Silence of the Lambs, genreOfHonoredFilm, psychological horror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfHonoredFilm Context triple: [Academy Awards for The Silence of the Lambs, genreOfHonoredFilm, psychological horror]
-
A.
settingOfHonouredFilm
Indicates that a particular place or environment serves as the primary setting or backdrop for a film that has received honors or awards.
-
B.
genreOfPersonHonored
Indicates the artistic or professional genre associated with the person who is being honored.
-
C.
featuredInFilmGenre
chosen
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
-
D.
filmGenreOfRelatedWork
Indicates that a work is related to another work through sharing or being associated with the same film genre.
-
E.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc7c70c81908b9bb4de68616e41 |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:07 p.m.