Triple
T22391042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higher |
E553510
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Weight of Your World |
—
|
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: Weight of Your World | Statement: [Higher, hasPart, Weight of Your World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weight of Your World Context triple: [Higher, hasPart, Weight of Your World]
-
A.
Weight of the World
Weight of the World is a philosophical work by Hannah Arendt that continues her exploration of modern political and moral experience through reflections on human suffering, responsibility, and meaning.
-
B.
Weight of the World
chosen
"Weight of the World" is a song featured on Blue October's album *Approaching Normal*.
-
C.
It's Your World
"It's Your World" is a country song featured on Tim McGraw's 2013 studio album "Two Lanes of Freedom."
-
D.
It’s Your World
"It’s Your World" is an R&B song by American singer Jennifer Hudson, known for its empowering lyrics and soulful vocal performance.
-
E.
There’s a World
"There’s a World" is a song performed by the character Gabe Goodman in the rock musical *Next to Normal*.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585b56208190b53b90a81a807a9d |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.