Triple
T8444513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alessia Cara |
E199638
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | How Far I'll Go |
E345369
|
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: How Far I'll Go | Statement: [Alessia Cara, notableWork, How Far I'll Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Far I'll Go Context triple: [Alessia Cara, notableWork, How Far I'll Go]
-
A.
How Far I’ll Go
chosen
"How Far I’ll Go" is the signature power ballad from Disney’s animated film *Moana*, expressing the heroine’s longing for exploration and self-discovery.
-
B.
Let It Go
"Let It Go" is the hit power ballad from Disney's animated film Frozen, performed by Idina Menzel, that became a global cultural phenomenon and won numerous awards.
-
C.
Let It Go
"Let It Go" is a notable song featured on Lenny Kravitz's album *Blue Electric Light*.
-
D.
Let It Go
"Let It Go" is a soulful, acoustic-driven ballad by English singer-songwriter James Bay that explores the emotional struggle of letting go of a failing relationship.
-
E.
Let It Go
"Let It Go" is a 2007 country music album by Tim McGraw that features several hit singles and showcases his blend of contemporary and traditional country styles.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3122cfc8190ac6103fa4e4a7c45 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dac8cb08190b74985a6ba3c938f |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.