Triple
T37827002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debbie Farenthold |
E943088
|
entity |
| Predicate | levelOfPublicAttention |
P5080
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Debbie Farenthold, levelOfPublicAttention, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelOfPublicAttention Context triple: [Debbie Farenthold, levelOfPublicAttention, low]
-
A.
mediaAttentionLevel
chosen
Indicates the degree or intensity of attention or coverage that media outlets give to a particular subject or entity.
-
B.
hasInternationalAttentionFor
Indicates that an entity is receiving recognition, focus, or concern from audiences, organizations, or media beyond its own country, specifically in relation to a particular topic, event, or attribute.
-
C.
nationalAttention
Indicates that an entity or event receives significant recognition, focus, or coverage at the level of an entire nation.
-
D.
hasPublicPerception
Indicates that an entity is associated with a particular way it is viewed, judged, or regarded by the general public or society.
-
E.
hasPublicity
Indicates that an entity has received or is associated with public attention, promotion, or media exposure.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.