Triple
T29359086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Kauer |
E744532
|
entity |
| Predicate | notableGenreOfFilm |
P204211
|
FINISHED |
| Object | psychological drama |
—
|
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 drama | Statement: [Sophie Kauer, notableGenreOfFilm, psychological drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGenreOfFilm Context triple: [Sophie Kauer, notableGenreOfFilm, psychological drama]
-
A.
notableGenreAsFilmmaker
Indicates the film genre for which a filmmaker is particularly recognized or distinguished.
-
B.
featuredInFilmGenre
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
-
C.
notableGenreAdaptation
Indicates that a work is a significant adaptation of another work into a different genre.
-
D.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
E.
genreOfAwardedFilm
Indicates the genre category associated with a film that has received an award.
- F. None of above. chosen
Provenance (4 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a034af7066c81908719bff353d77b16 |
completed | May 12, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_6a034a2fc2308190b0b8fbd458a39323 |
completed | May 12, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_6a034af656d88190881820908f6d2958 |
completed | May 12, 2026, 3:44 p.m. |
Created at: April 28, 2026, 2:15 p.m.