Triple
T10811849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaffar |
E255119
|
entity |
| Predicate | hasFilmGenreContext |
P77497
|
FINISHED |
| Object | adventure |
—
|
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: adventure | Statement: [Jaffar, hasFilmGenreContext, adventure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmGenreContext Context triple: [Jaffar, hasFilmGenreContext, adventure]
-
A.
sourceFilmGenre
Indicates that a film is classified as belonging to a particular genre.
-
B.
filmTypeContext
chosen
Indicates the contextual relationship between a film and its type or category within a specific classification or usage setting.
-
C.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
D.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
E.
accompaniesGenreOfFilm
Indicates that one thing is typically associated with or goes along with a particular 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:18 p.m.