Triple
T26359122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actor nomination for I Never Sang for My Father |
E660150
|
entity |
| Predicate | filmGenreOfNominatedWork |
P93695
|
FINISHED |
| Object | family 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: family drama film | Statement: [Academy Award for Best Actor nomination for I Never Sang for My Father, filmGenreOfNominatedWork, family drama film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmGenreOfNominatedWork Context triple: [Academy Award for Best Actor nomination for I Never Sang for My Father, filmGenreOfNominatedWork, family drama film]
-
A.
filmGenreOfRelatedWork
Indicates that a work is related to another work through sharing or being associated with the same film genre.
-
B.
sourceFilmGenre
chosen
Indicates that a film is classified as belonging to a particular genre.
-
C.
genreOfWorkActedIn
Indicates that an entity is the genre category of a work in which another entity performed or acted.
-
D.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
E.
featuredInFilmGenre
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60ff21bc08190994f406feb484aad |
completed | May 2, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:50 p.m.