Triple
T16301836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turk |
E395808
|
entity |
| Predicate | appearsInGenreSetting |
P78941
|
FINISHED |
| Object | coastal teen setting |
—
|
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: coastal teen setting | Statement: [Turk, appearsInGenreSetting, coastal teen setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInGenreSetting Context triple: [Turk, appearsInGenreSetting, coastal teen setting]
-
A.
hasGenreAsSetting
chosen
Indicates that a work’s setting is characterized by, or takes place within, a particular genre.
-
B.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
C.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
D.
includedInGenreCollection
Indicates that something is a member of, or contained within, a specific genre-based collection.
-
E.
hasGenreInSeries
Indicates that a particular genre is associated with, or applies to, a work as it appears within a specific series.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e32da7081908d8bd320374a5731 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.