Triple
T16953242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balance |
E411233
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Miles Away |
E1057463
|
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: Miles Away | Statement: [Balance, hasPart, Miles Away]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Away Context triple: [Balance, hasPart, Miles Away]
-
A.
Miles Away
chosen
"Miles Away" is a pop ballad by Madonna from her 2008 album "Hard Candy," noted for its themes of emotional distance in relationships.
-
B.
A Million Miles Away
A Million Miles Away is a 2023 biographical drama film that chronicles the life of NASA astronaut José Hernández, depicting his journey from migrant farmworker to space traveler.
-
C.
900 Miles
"900 Miles" is a traditional American folk song popularized by Cisco Houston, known for its themes of wandering, distance, and homesickness.
-
D.
Five Hundred Miles
"Five Hundred Miles" is a classic folk song of longing and homesickness that has been widely covered by numerous artists since the early 1960s.
-
E.
So Far Away
"So Far Away" is a 2017 electronic dance track by Dutch DJ and producer Martin Garrix, featuring emotional vocals and a melodic future bass style.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.