Triple
T37534473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 90 Day Fiancé: Love Games |
E933156
|
entity |
| Predicate | hasParentGenre |
P70441
|
FINISHED |
| Object | reality competition television |
—
|
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 competition television | Statement: [90 Day Fiancé: Love Games, hasParentGenre, reality competition television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentGenre Context triple: [90 Day Fiancé: Love Games, hasParentGenre, reality competition television]
-
A.
hasMotherGenre
chosen
Indicates that one genre is the parent or broader category from which another, more specific genre is derived.
-
B.
hasGenreRelation
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
-
C.
hasParentAlbumType
Indicates that an album is associated with a broader or more general album type from which it derives or is categorized.
-
D.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
E.
hasTargetGenreCategory
Indicates that something is associated with or classified under a specific target genre category.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
Created at: May 3, 2026, 4:17 p.m.