Triple
T19744637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Mexicans |
E474217
|
entity |
| Predicate | overrepresentedIn |
P24572
|
FINISHED |
| Object | Mexican media |
—
|
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: Mexican media | Statement: [White Mexicans, overrepresentedIn, Mexican media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overrepresentedIn Context triple: [White Mexicans, overrepresentedIn, Mexican media]
-
A.
moreCommonIn
chosen
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
-
B.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
C.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
D.
prevalentIn
Indicates that something occurs frequently or is commonly found within a particular context, group, or environment.
-
E.
primarilyRepresentedBy
Indicates that one entity serves as the main or most characteristic representation or depiction of another entity.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e652923fd48190982c51c39814fd08 |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.