Triple
T24204310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love New York |
E600060
|
entity |
| Predicate | isTelevisionSeriesOfGenre |
P83375
|
FINISHED |
| Object | reality-dating competition |
—
|
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: reality-dating competition | Statement: [I Love New York, isTelevisionSeriesOfGenre, reality-dating competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTelevisionSeriesOfGenre Context triple: [I Love New York, isTelevisionSeriesOfGenre, reality-dating competition]
-
A.
isEpisodeOfGenre
Indicates that a specific episode belongs to or is categorized under a particular genre.
-
B.
isTelevisionShowType
Indicates that one entity is a specific type or category of television show in relation to another entity.
-
C.
isTelevisionShowAbout
Indicates that a television show’s primary content, theme, or subject matter concerns a specified topic, person, event, or concept.
-
D.
notableGenreSeries
Indicates that a series is notably associated with or recognized for a particular genre.
-
E.
tvGenre
chosen
Indicates the genre or category to which a television show or program belongs.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca38c148190ae65cd692567d43d |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:37 p.m.