Triple
T34985968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulroy |
E1008946
|
entity |
| Predicate | filmGenreOfWorkAppearsIn |
P96255
|
FINISHED |
| Object | romantic comedy-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: romantic comedy-drama | Statement: [Mulroy, filmGenreOfWorkAppearsIn, romantic comedy-drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmGenreOfWorkAppearsIn Context triple: [Mulroy, filmGenreOfWorkAppearsIn, romantic comedy-drama]
-
A.
filmGenreOfRelatedWork
Indicates that a work is related to another work through sharing or being associated with the same film genre.
-
B.
genreOfWorkActedIn
Indicates that an entity is the genre category of a work in which another entity performed or acted.
-
C.
filmGenreOfParentWork
Indicates that a specified film genre is the genre of the parent (original or overarching) work from which another work is derived.
-
D.
featuredInFilmGenre
chosen
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
-
E.
sourceFilmGenre
Indicates that a film is classified as belonging to a particular 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.