Triple
T17512254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Memory of Trees |
E426477
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Anywhere Is |
—
|
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: Anywhere Is | Statement: [The Memory of Trees, hasTrack, Anywhere Is]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anywhere Is Context triple: [The Memory of Trees, hasTrack, Anywhere Is]
-
A.
Anywhere Is
chosen
"Anywhere Is" is a 1995 ethereal pop song by Irish singer Enya, known for its uplifting melody and poetic, imaginative lyrics.
-
B.
Anyplace Is Paradise
"Anyplace Is Paradise" is a rock and roll song recorded by Elvis Presley in 1956, featured on his early RCA releases.
-
C.
Whenever, Wherever
"Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
-
D.
Wherever You Are
"Wherever You Are" is a choral composition by Paul Mealor, written for the Military Wives Choir and known for topping the UK Singles Chart in 2011.
-
E.
Anywhere but Here
Anywhere but Here is a 1986 coming-of-age novel by Mona Simpson that follows a restless mother and her precocious daughter as they leave the Midwest for California in search of a better life.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525d29fc819080851bf744bc78ed |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.