Triple
T28211929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Garner as Murphy Jones |
E711193
|
entity |
| Predicate | anchorsGenre |
P41449
|
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: [James Garner as Murphy Jones, anchorsGenre, romantic comedy-drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anchorsGenre Context triple: [James Garner as Murphy Jones, anchorsGenre, romantic comedy-drama]
-
A.
genreAssociatedWith
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
-
B.
bandGenreOfArtist
Indicates that a particular musical genre is associated with, or characterizes the style of, a given band or musical artist.
-
C.
genreOfAssociatedPerson
chosen
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
D.
bearerGenre
Indicates that an entity (the bearer) is associated with or characterized by a particular genre.
-
E.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64312f0f081909d8cb61e9cd52b16 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:40 p.m.