Triple
T13437659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Inland Voyage |
E320270
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Back to the World” |
E971668
|
NE 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: “Back to the World” | Statement: [An Inland Voyage, hasPart, “Back to the World”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Back to the World” Context triple: [An Inland Voyage, hasPart, “Back to the World”]
-
A.
Back to the World
chosen
Back to the World is a 1973 soul and funk album by Curtis Mayfield that continues his socially conscious, politically charged musical themes.
-
B.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
C.
Turning Back the World
"Turning Back the World" is a musical track from John Williams' iconic score for the 1978 superhero film Superman.
-
D.
There’s a World
"There’s a World" is a song performed by the character Gabe Goodman in the rock musical *Next to Normal*.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee42a8c8190a85716b4a6db335e |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399215bc8190b846906b0f081e7f |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.