Triple
T17439669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life Rolls On |
E424113
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | I Love My Country |
—
|
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: I Love My Country | Statement: [Life Rolls On, hasPart, I Love My Country]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Love My Country Context triple: [Life Rolls On, hasPart, I Love My Country]
-
A.
I Love My Country
chosen
I Love My Country is a television game show format created by Talpa Media in which celebrity teams compete in quizzes and challenges about their home nation.
-
B.
To My Country
"To My Country" is a patriotic poem by Indian writer Sarojini Naidu that expresses deep love and devotion to her homeland.
-
C.
This Is My Country
This Is My Country is a patriotic American song written by lyricist Don Raye that has become a popular expression of national pride.
-
D.
My Homeland
"My Homeland" is the English title of "Mawtini," a famous patriotic anthem widely regarded as a symbol of national pride in the Arab world.
-
E.
My Country
"My Country" is the English title of "Negaraku," the national anthem of Malaysia.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff63e5481908a3ea0aa221360c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.