Triple
T10396019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suite from 'Ma Ma' |
E245019
|
entity |
| Predicate | sourceFilmGenre |
P93695
|
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: [Suite from 'Ma Ma', sourceFilmGenre, drama film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceFilmGenre Context triple: [Suite from 'Ma Ma', sourceFilmGenre, drama film]
-
A.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
B.
distributedFilmGenre
Indicates that an entity (such as a company or distributor) distributed a film belonging to a particular genre.
-
C.
filmType
Indicates the specific category or genre that a film belongs to.
-
D.
tvGenre
Indicates the genre or category to which a television show or program belongs.
-
E.
accompaniesGenreOfFilm
Indicates that one thing is typically associated with or goes along with a particular film genre.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:06 p.m.