Triple
T27566616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Posta |
E695916
|
entity |
| Predicate | tabloidStyle |
P162710
|
FINISHED |
| Object | photo-heavy layout |
—
|
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: photo-heavy layout | Statement: [Posta, tabloidStyle, photo-heavy layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tabloidStyle Context triple: [Posta, tabloidStyle, photo-heavy layout]
-
A.
tabloidStyle
chosen
Indicates that something is presented in a sensationalized, attention-grabbing, and often gossip-focused journalistic style.
-
B.
majorTabloid
Indicates that the subject is a prominent or widely recognized tabloid publication.
-
C.
ownedTabloid
Indicates that one entity possessed legal or controlling ownership of a tabloid publication.
-
D.
ownedBroadsheet
Indicates that one entity possessed ownership of a broadsheet (such as a large-format newspaper or printed sheet).
-
E.
styledCelebrity
Indicates that one entity (typically a stylist or source) is responsible for selecting or creating the fashion or appearance of a celebrity.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 1:41 p.m.