Triple
T17439579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dig Your Roots |
E424111
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | May We All |
—
|
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: May We All | Statement: [Dig Your Roots, track, May We All]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May We All Context triple: [Dig Your Roots, track, May We All]
-
A.
May We All
chosen
May We All is a country song by Florida Georgia Line featuring Tim McGraw that reflects on small-town roots and nostalgia.
-
B.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
C.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
D.
May It Be
"May It Be" is a hauntingly melodic song by Irish singer Enya, best known as one of the main themes for the film "The Lord of the Rings: The Fellowship of the Ring."
-
E.
All We Need
All We Need is the debut studio album by American singer-songwriter and rapper Raury, blending folk, hip-hop, and soul influences.
- 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.