Triple
T8243893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trucks |
E192801
|
entity |
| Predicate | originalMagazineGenre |
P9009
|
FINISHED |
| Object | men's magazine fiction |
—
|
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: men's magazine fiction | Statement: [Trucks, originalMagazineGenre, men's magazine fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMagazineGenre Context triple: [Trucks, originalMagazineGenre, men's magazine fiction]
-
A.
magazineType
chosen
Indicates the specific category or genre to which a magazine belongs.
-
B.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
-
C.
isOfficialMagazineOf
Indicates that a magazine is formally designated or recognized as the official publication representing a particular entity, organization, event, or group.
-
D.
genreEdited
Indicates that an entity has been edited or modified to change or refine its genre classification.
-
E.
literaryGenreOfWork
Indicates that a work belongs to or is classified under a particular literary 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78711f5081909c2f357334491a07 |
completed | March 31, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.