Triple
T3970717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain on Lens |
E92325
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | In the Pines |
E313303
|
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: In the Pines | Statement: [Rain on Lens, hasTrack, In the Pines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In the Pines Context triple: [Rain on Lens, hasTrack, In the Pines]
-
A.
In the Pines
chosen
"In the Pines" is a traditional American folk song, also known as "Where Did You Sleep Last Night," that has been widely covered and adapted across blues, country, and rock music.
-
B.
In the Woods
In the Woods is a 19th-century landscape painting by American artist Asher B. Durand, exemplifying the Hudson River School’s detailed and reverent depiction of the natural world.
-
C.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
D.
The Back Country
The Back Country is a poetry collection by Gary Snyder that blends nature, Zen Buddhism, and reflections on wilderness and rural life.
-
E.
Burnt Pine
Burnt Pine is the main commercial and population center of Norfolk Island, serving as its largest town and hub for services and tourism.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9942c908190aface17a4e8d356d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400b75d081909b8e4840b15d19f1 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.