Triple
T6967067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forever Fernwood |
E161515
|
entity |
| Predicate | hasCountryAudience |
P54632
|
FINISHED |
| Object | American television audience |
—
|
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: American television audience | Statement: [Forever Fernwood, hasCountryAudience, American television audience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryAudience Context triple: [Forever Fernwood, hasCountryAudience, American television audience]
-
A.
hasTargetAudienceRegion
chosen
Indicates that something is intended for or directed toward an audience located in a specific geographic region.
-
B.
hasCountryElement
Indicates that something includes, contains, or is composed of one or more country-related components or parts.
-
C.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
D.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
-
E.
includesPresentCountry
Indicates that an entity (such as a region, organization, or grouping) currently contains or encompasses a specified country within its present composition or membership.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db121174819098e73e45f6c9cc91 |
completed | March 27, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.