Triple
T20925244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Over and Over |
E515324
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Country Home |
—
|
NE NERFINISHED |
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: Country Home | Statement: [Over and Over, follows, Country Home]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Country Home Context triple: [Over and Over, follows, Country Home]
-
A.
Country Home
chosen
"Country Home" is a Neil Young song known for its raw, guitar-driven rock sound and nostalgic, rural-themed lyrics.
-
B.
Country Place
Country Place is a 1947 novel by American author Ann Petry that explores race, class, and moral conflict in a small New England town.
-
C.
Country House
"Country House" is a 1995 Britpop single by the English band Blur, known for its satirical take on middle-class escapism and for reaching number one on the UK Singles Chart.
-
D.
Country Life
Country Life is a long-running British weekly magazine renowned for its coverage of rural life, country houses, architecture, and gardening.
-
E.
Country Gardens
"Country Gardens" is an episode of the documentary television series "Gardens of the World with Audrey Hepburn," showcasing notable gardens and landscapes from around the world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f651278481909e7194f892703828 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.