Triple
T901608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Young |
E19457
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | On the Beach |
E106982
|
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: On the Beach | Statement: [Neil Young, notableAlbum, On the Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: On the Beach Context triple: [Neil Young, notableAlbum, On the Beach]
-
A.
On the Beach
chosen
On the Beach is a 1974 studio album by Canadian singer-songwriter Neil Young, known for its dark, introspective tone and critical acclaim as one of his most powerful works.
-
B.
On the Beach
On the Beach is a 1959 post-apocalyptic drama film, based on Nevil Shute’s novel, depicting the aftermath of nuclear war and featuring Fred Astaire in a rare serious, non-musical role.
-
C.
Like the Sea
"Like the Sea" is a soulful R&B ballad by Alicia Keys from her album "The Element of Freedom," noted for its serene, metaphor-rich lyrics and gentle, flowing melody.
-
D.
Black Beach
Black Beach is a distinctive dark-sand beach on the island of Vieques, Puerto Rico, known for its volcanic-colored shoreline and scenic coastal views.
-
E.
Bluewater
Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad4412408190a6bf8fc7484a5781 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf5a4118819086035d6e250a53cc |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:39 p.m.