Triple
T22257317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Bugg |
E550125
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Shangri La |
—
|
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: Shangri La | Statement: [Jake Bugg, album, Shangri La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shangri La Context triple: [Jake Bugg, album, Shangri La]
-
A.
Shangri-La
Shangri-La is a fictional Himalayan utopia depicted as a hidden, peaceful, and eternally youthful paradise.
-
B.
Shangri-La
chosen
Shangri-La is a famed recording studio in Malibu, California, known for hosting sessions by prominent rock and popular music artists.
-
C.
Lost in Shangri-La
Lost in Shangri-La is a nonfiction book by Mitchell Zuckoff that recounts the true story of a World War II plane crash in New Guinea and the dramatic survival and rescue of its passengers.
-
D.
Shangri-La Music
Shangri-La Music is an independent record label known for releasing alternative and indie rock music, including projects by collaborative supergroups.
-
E.
Shangri-La Woods
Shangri-La Woods is a themed attraction area within the Happy Valley Shenzhen amusement park, designed to evoke a mystical, nature-filled fantasy world.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c3cf64819087e270a1f50e629e |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.